Statistics - 2015
Cavaliere, G., Politis, D. N., Rahbek, A., Bertail, P., Clémençon, S., Tressou, J., & others. (2015). Recent developments in bootstrap methods for dependent data. Journal of Time Series Analysis, 36(3), 462–480.
Sengupta, S., Shao, X., & Wang, Y. (2015). The dependent random weighting. Journal of Time Series Analysis, 36(3), 315–326.
Sengupta, S., & Chen, Y. (2015). Spectral clustering in heterogeneous networks. Statistica Sinica, 1081–1106.
Hanks, E. M., Schliep, E. M., Hooten, M. B., & Hoeting, J. A. (2015). Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification. Environmetrics, 26(4), 243–254. https://doi.org/10.1002/env.2331
Schliep, E. M., & Hoeting, J. A. (2015). Data augmentation and parameter expansion for independent or spatially correlated ordinal data. Computational Statistics & Data Analysis, 90, 1–14. https://doi.org/10.1016/j.csda.2015.03.020
Schliep, E. M., Gelfand, A. E., & Clark, J. S. (2015). Stochastic Modeling for Velocity of Climate Change. Journal of Agricultural, Biological, and Environmental Statistics, 20(3), 323–342. https://doi.org/10.1007/s13253-015-0210-9
Schliep, E. M., Gelfand, A. E., Clark, J. S., & Zhu, K. (2015). Modeling change in forest biomass across the eastern US. Environmental and Ecological Statistics, 23(1), 23–41. https://doi.org/10.1007/s10651-015-0321-z
Rundel, C. W., Schliep, E. M., Gelfand, A. E., & Holland, D. M. (2015). A data fusion approach for spatial analysis of speciated PM2.5across time. Environmetrics, 26(8), 515–525. https://doi.org/10.1002/env.2369
Schliep, E. M., Gelfand, A. E., & Holland, D. M. (2015). Autoregressive spatially varying coefficients model for predicting daily PM2.5 using VIIRS satellite AOT. Advances in Statistical Climatology, Meteorology and Oceanography, 1(1), 59–74. https://doi.org/10.5194/ascmo-1-59-2015
Carey, E. S., Page, J. L., Shew, R. D., & Hunt, III, W. F. (2015). A Collaborative Approach to Voluntary Watershed Restoration in Coastal North Carolina. International Low Impact Development Conference 2015. Presented at the International Low Impact Development 2015. https://doi.org/10.1061/9780784479025.041
Martin, R. (2015). Asymptotically Optimal Nonparametric Empirical Bayes Via Predictive Recursion. Communications in Statistics - Theory and Methods, 44(2), 286–299. https://doi.org/10.1080/03610926.2012.743566
Liu, C., & Martin, R. (2015). Frameworks for prior-free posterior probabilistic inference. Wiley Interdisciplinary Reviews: Computational Statistics, 7(1), 77–85. https://doi.org/10.1002/WICS.1329
Martin, R., & Liu, C. (2015). Marginal Inferential Models: Prior-Free Probabilistic Inference on Interest Parameters. Journal of the American Statistical Association, 110(512), 1621–1631. https://doi.org/10.1080/01621459.2014.985827
Martin, R. (2015). Plausibility Functions and Exact Frequentist Inference. Journal of the American Statistical Association, 110(512), 1552–1561. https://doi.org/10.1080/01621459.2014.983232
Guo, Z., Li, L., Lu, W., & Li, B. (2015). Groupwise Dimension Reduction via Envelope Method. Journal of the American Statistical Association, 110(512), 1515–1527. https://doi.org/10.1080/01621459.2014.970687
Wang, S., Zhang, J., & Lu, W. (2015). Authors' Reply to comments on ‘Sample size calculation for the proportional hazards cure model.’ Statistics in Medicine, 34(17), 2578–2580. https://doi.org/10.1002/SIM.6491
Ghosh, S. (2015). Bayesian Methods for Reliability, International Workshop on Reliability and Time Series Methodology. Presented at the Cochin University of Science and Technology, Cochin, Kerala, India.
Ghosh, S. (2015). Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models. Presented at the VI-MSS Workshop on Environmental Statistics, Indian Statistical Institute, Kolkata, India.
Ghosh, S. (2015). Opportunities at SAMSI. Presented at the NISS-SAMSI Aliate Annual Meeting at ENAR, Miami, FL.
Ghosh, S. (2015, April). High-dimensional Multivariate Imputation Methods for ARMS Data Featuring New Methods for Ordinal Variables. Presented at the Economic Research Services, USDA, Washington, DC.
Taylor-Rodriguez, D., & Ghosh, S. K. (2015). On the estimation of the order of smoothness of the regression function (ArXiv Preprint No. 1510.02967).
Ghosh, S. (2015, April). A exible observed factor model with separate dynamics for the factor volatilities and their correlation matrix. Presented at the Institute for Integrating Statistics in Decision Sciences, Department of Decision Sciences, George Washington University, Washington, DC.
Ghoah, S. (2015). Nonparametric Models for Longitudinal Data Using Bernstein Polynomials. Presented at the G70: A Celebration of Alan Gelfand's 70th Birthday, Duke University, Durham, NC.
Ghosh, S. (2015). Nonparametric estimation of the conditional mean residual life function. Presented at the QPRC-2015, Raleigh, NC.
Ghosh, S. (2015, July). Nonparametric Estimation of the Conditional Mean Residual Life Function. Presented at the Departmento de Metodos Estatsticos Instituto de Matematica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Ghosh, S. (2015). Analyzing Longitudinal Data Using a Sieve of Bernstein Polynomials. Presented at the 60a Reunião Anual da RBras e 16 SEAGRO Presidente Prudente, São Paulo, Brazil.
Ghosh, S. (2015). Using Historical Data in Clinical Trials: A Discussion. Presented at the FDA-Industry Statistics Workshop, Washington, DC.
Ghosh, S. (2015). A Statistician's Journey: Atmospheric Sciences to Zoology. Presented at the Annual SACNAS Conference, Washington, DC.
Ghosh, S. (2015, November 13). Nonparametric Longitudinal Analysis of Irregularly Observed Noisy Data. Presented at the Department of Statistics Colloquium Western Michigan University, Kalamazoo, MI.
Ghosh, S. (2015). Dynamic Model Based Methods to Test for Biosimilarity. Presented at the Ninth International Triennial Calcutta Symposium on Probability and Statistics, Kolkata, India.
Li, Y., & Ghosh, S. K. (2015). Efficient Sampling Methods for Truncated Multivariate Normal and Student-tDistributions Subject to Linear Inequality Constraints. Journal of Statistical Theory and Practice, 9(4), 712–732. https://doi.org/10.1080/15598608.2014.996690
Yang, J., Huang, T., Petralia, F., Long, Q., Zhang, B., Argmann, C., … Tu, Z. (2015). Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases. Scientific Reports, 5(1), 15145. https://doi.org/10.1038/SREP15145
Tzeng, J.-Y. (2015). Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nature Neuroscience, 18(2), 199–209. https://doi.org/10.1038/NN.3922
Chatterjee, A., & Lahiri, S. N. (2015). Comment. Journal of the American Statistical Association, 110(512), 1434–1438. https://doi.org/10.1080/01621459.2015.1102143
Bernhardt, P. W., Wang, H. J., & Zhang, D. (2015). Statistical Methods for Generalized Linear Models with Covariates Subject to Detection Limits. Statistics in Biosciences, 7(1), 68–89. https://doi.org/10.1007/S12561-013-9099-4
Yang, S., & Zhu, Z. (2015). Semiparametric estimation of spectral density function for irregular spatial data. Retrieved from https://arxiv.org/abs/1508.06886
Jansen, R., Penninx, B. W. J. H., Madar, V., Xia, K., Milaneschi, Y., Hottenga, J. J., … Sullivan, P. F. (2015). Erratum: Gene expression in major depressive disorder. Molecular Psychiatry, 21(3), 444–444. https://doi.org/10.1038/MP.2015.94
Jansen, R., Penninx, B. W. J. H., Madar, V., Xia, K., Milaneschi, Y., Hottenga, J. J., … Sullivan, P. F. (2015). Gene expression in major depressive disorder. Molecular Psychiatry, 21(3), 339–347. https://doi.org/10.1038/MP.2015.57
Cook, M. A., Peterson, M. N., Colter Chitwood, M., Palmer, D., DePerno, C. S., & Gross, K. (2015). Evaluating Deer Hunters’ Support for Hunting Deer with Dogs. Human Dimensions of Wildlife, 20(2), 174–181. https://doi.org/10.1080/10871209.2014.997328
Blecken, G.-T., Hunt, W. F., III, Al-Rubaei, A. M., Viklander, M., & Lord, W. G. (2015). Stormwater control measure (SCM) maintenance considerations to ensure designed functionality. Urban Water Journal, 14(3), 278–290. https://doi.org/10.1080/1573062X.2015.1111913
Eduati, F., Mangravite, L. M., Wang, T., Tang, H., Bare, J. C., Huang, R., … Saez-Rodriguez, J. (2015). Prediction of human population responses to toxic compounds by a collaborative competition. Nature Biotechnology, 33(9), 933–940. https://doi.org/10.1038/NBT.3299
Eduati, F., Mangravite, L. M., Wang, T., Tang, H., Bare, J. C., Huang, R., … Saez-Rodriguez, J. (2015). Erratum: Prediction of human population responses to toxic compounds by a collaborative competition. Nature Biotechnology, 33(10), 1109–1109. https://doi.org/10.1038/NBT1015-1109A
Rotroff, D. M., Shahin, M. H., Gurley, S. B., Zhu, H., Motsinger-Reif, A., Meisner, M., … Kaddurah-Daouk, R. (2015). Pharmacometabolomic Assessments of Atenolol and Hydrochlorothiazide Treatment Reveal Novel Drug Response Phenotypes. CPT: Pharmacometrics & Systems Pharmacology, 4(11), 669–679. https://doi.org/10.1002/PSP4.12017
Maier, R., Moser, G., Chen, G.-B., Ripke, S., Coryell, W., Potash, J. B., … Zöllner, S. (2015). Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder. The American Journal of Human Genetics, 96(2), 283–294. https://doi.org/10.1016/J.AJHG.2014.12.006
Jernigan, S. R., Osborne, J. A., Mirek, C. J., & Buckner, G. (2015). Selective Internal Radiation Therapy: Quantifying Distal Penetration and Distribution of Resin and Glass Microspheres in a Surrogate Arterial Model. Journal of Vascular and Interventional Radiology, 26(6), 897–904.e2. https://doi.org/10.1016/J.JVIR.2015.02.022
Smolek, A. P., Hunt, W. F., III, & Grabow, G. L. (2015). Influence of Drawdown Period on Overflow Volume and Pollutant Treatment for Detention-Based Stormwater Control Measures in Raleigh, North Carolina. Journal of Sustainable Water in the Built Environment, 1(2), 05015001. https://doi.org/10.1061/JSWBAY.0000798
Wilson, C. E., Hunt, W. F., Winston, R. J., & Smith, P. (2015). Comparison of Runoff Quality and Quantity from a Commercial Low-Impact and Conventional Development in Raleigh, North Carolina. Journal of Environmental Engineering, 141(2), 05014005. https://doi.org/10.1061/(ASCE)EE.1943-7870.0000842
Chitwood, M. C., Peterson, M. N., Bondell, H. D., Lashley, M. A., Brown, R. D., & Deperno, C. S. (2015). Perspectives of wildlife conservation professionals on intensive deer management. Wildlife Society Bulletin, 39(4), 751–756. https://doi.org/10.1002/WSB.607
Mollinari, M., & Serang, O. (2015). Quantitative SNP Genotyping of Polyploids with MassARRAY and Other Platforms. In Methods in Molecular Biology (Vol. 1245, pp. 215–241). https://doi.org/10.1007/978-1-4939-1966-6_17
Corvol, H., Blackman, S. M., Boëlle, P.-Y., Gallins, P. J., Pace, R. G., Stonebraker, J. R., … Knowles, M. R. (2015). Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis. Nature Communications, 6(1). https://doi.org/10.1038/NCOMMS9382
Rager, J. E., Tilley, S. K., Tulenko, S. E., Smeester, L., Ray, P. D., Yosim, A., … Fry, R. C. (2015). Identification of Novel Gene Targets and Putative Regulators of Arsenic-Associated DNA Methylation in Human Urothelial Cells and Bladder Cancer. Chemical Research in Toxicology, 28(6), 1144–1155. https://doi.org/10.1021/TX500393Y
Zhang, B., Tsiatis, A. A., Laber, E. B., & Davidian, M. (2015). A robust method for estimating optimal treatment regimes. Biometrics, 71, 271–273. https://doi.org/10.1111/biom.12229
Davidian, M., Tsiatis, A. A., & Laber, E. B. (2015). Chapter 9: Value search estimators for optimal dynamic treatment regimes. In Adaptive Treatment Strategies in Practice (pp. 135–155). https://doi.org/10.1137/1.9781611974188.ch9
Ghoshal, S., Kleijn, B., van der Vaart, A., & van Zanten, H. (2015). Special issue on Bayesian nonparametrics. Journal of Statistical Planning and Inference, 166, 1. https://doi.org/10.1016/J.JSPI.2015.04.008
Milanzi, E., & Molenberghs, G. (2015). Properties of Estimators in Exponential Family Settings with Observationbased Stopping Rules. Journal of Biometrics & Biostatistics, 07(01). https://doi.org/10.4172/2155-6180.1000272
Yang, J., Shmuelof, L., Xiao, L., Krakauer, J. W., & Caffo, B. (2015). On tests of activation map dimensionality for fMRI-based studies of learning. Frontiers in Neuroscience, 9. https://doi.org/10.3389/fnins.2015.00085
Xiao, L., He, B., Koster, A., Caserotti, P., Lange-Maia, B., Glynn, N. W., … Crainiceanu, C. M. (2015). Movement prediction using accelerometers in a human population. Biometrics, 72(2), 513–524. https://doi.org/10.1111/biom.12382
Bunea, F., & Xiao, L. (2015). On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA. Bernoulli, 21(2), 1200–1230. https://doi.org/10.3150/14-bej602
Peyer, K. L., Welk, G., Bailey-Davis, L., Yang, S., & Kim, J.-K. (2015). Factors Associated with Parent Concern for Child Weight and Parenting Behaviors. Childhood Obesity, 11(3), 269–274. https://doi.org/10.1089/chi.2014.0111
Yang, S., & Kim, J. K. (2015). Likelihood-based Inference with Missing Data Under Missing-at-Random. Scandinavian Journal of Statistics, 43(2), 436–454. https://doi.org/10.1111/sjos.12184
Park, S. Y., & Staicu, A.-M. (2015). Longitudinal functional data analysis. Stat, 4(1), 212–226. https://doi.org/10.1002/STA4.89
Zhang, Y., & Laber, E. B. (2015). Comment. Journal of the American Statistical Association, 110(512), 1451–1454. https://doi.org/10.1080/01621459.2015.1106403
Song, R., Kosorok, M., Zeng, D., Zhao, Y., Laber, E., & Yuan, M. (2015). On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning. Stat, 4(1), 59–68. https://doi.org/10.1002/STA4.78
Laber, E. B., Zhao, Y.-Q., Regh, T., Davidian, M., Tsiatis, A., Stanford, J. B., … Kosorok, M. R. (2015). Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy. Statistics in Medicine, 35(8), 1245–1256. https://doi.org/10.1002/SIM.6783
Chen, G. K., Chi, E. C., Ranola, J. M. O., & Lange, K. (2015). Convex Clustering: An Attractive Alternative to Hierarchical Clustering. PLoS Computational Biology, 11(5), e1004228. https://doi.org/10.1371/journal.pcbi.1004228
Chi, E. C., & Lange, K. (2015). Splitting Methods for Convex Clustering. Journal of Computational and Graphical Statistics, 24(4), 994–1013. https://doi.org/10.1080/10618600.2014.948181
Zhou, Y.-H., Marron, J. S., & others. (2015). High dimension low sample size asymptotics of robust PCA. Electronic Journal of Statistics, 9(1), 204–218.
Metabolomic evaluation of neutrophilic airway inflammation in cystic fibrosis. (2015). Chest, 148(2), 507–515.
Zhou, Y.-H., & Wright, F. A. (2015). The projack: a resampling approach to correct for ranking bias in high-throughput studies. Biostatistics, 17(1), 54–64.
Corvol, H., Blackman, S. M., Boëlle, P.-Y., Gallins, P. J., Pace, R. G., Stonebraker, J. R., … others. (2015). Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis. Nature Communications, 6, 8382.
Abdo, N., Xia, M., Brown, C. C., Kosyk, O., Huang, R., Sakamuru, S., … others. (2015). Population-based in vitro hazard and concentration--response assessment of chemicals: the 1000 genomes high-throughput screening study. Environmental Health Perspectives, 123(5), 458.
Zhou, Y. (2015). PathwaySeq: Pathway analysis for RNA-Seq data using a score-based approach. Dim (Data. Test), 1(1000), 448.
Identification of novel gene targets and putative regulators of arsenic-associated DNA methylation in human urothelial cells and bladder cancer. (2015). Chemical Research in Toxicology, 28(6), 1144–1155.
Demerath, E. W., Guan, W., Grove, M. L., Aslibekyan, S., Mendelson, M., Zhou, Y.-H., … others. (2015). Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci. Human Molecular Genetics, 24(15), 4464–4479.
Rivas, M. A., Pirinen, M., Conrad, D. F., Lek, M., Tsang, E. K., Karczewski, K. J., … others. (2015). Effect of predicted protein-truncating genetic variants on the human transcriptome. Science, 348(6235), 666–669.
O’Neal, W. K., Gallins, P., Pace, R. G., Dang, H., Wolf, W. E., Jones, L. C., … others. (2015). Gene expression in transformed lymphocytes reveals variation in endomembrane and HLA pathways modifying cystic fibrosis pulmonary phenotypes. The American Journal of Human Genetics, 96(2), 318–328.
Usset, J., Maity, A., Staicu, A.-M., & Schwartzman, A. (2015). Glacier Terminus Estimation from Landsat Image Intensity Profiles. Journal of Agricultural, Biological, and Environmental Statistics, 20(2), 279–298. https://doi.org/10.1007/S13253-015-0207-4
Terry, W., Zhang, H., Maity, A., Arshad, H., & Karmaus, W. (2015). Unified variable selection in semi-parametric models. Statistical Methods in Medical Research, 10(6), 2821–2831. https://doi.org/10.1177/0962280215610928
Zhang, X., Brown, H. F., & Shankar, A. (2015). Data-driven personas: Constructing archetypal users with clickstreams and user telemetry. 34th Annual CHI Conference on Human Factors in Computing Systems, CHI 2016, 5350–5359.
Anderson, A. R., Smolek, A. P., & Hunt, W. F. (2015). Stormwater Treatment Performance of a Permeable Pavement-Biofiltration System and a Stand-Alone Biofiltration Unit in North Carolina. International Low Impact Development Conference 2015, 216–226. https://doi.org/10.1061/9780784479025.022
Carey, E. S., Page, J. L., Shew, R. D., & Hunt, W. F. (2015). A collaborative approach to voluntary watershed restoration in coastal North Carolina. LID: It Works In All Climates and Soils, 404–410.
Reich, B. J., & Fuentes, M. (2015). Spatial Bayesian Nonparametric Methods. NONPARAMETRIC BAYESIAN INFERENCE IN BIOSTATISTICS, pp. 347–357. https://doi.org/10.1007/978-3-319-19518-6_17
Jones, Z. G., Goodman, M. M., & Krakowsky, M. D. (2015). Identification of resistance to the Ga1-m gametophyte factor in maize. EUPHYTICA, 206(3), 785–791. https://doi.org/10.1007/s10681-015-1518-9
Zhang, Y., Laber, E. B., Tsiatis, A., & Davidian, M. (2015). Using Decision Lists to Construct Interpretable and Parsimonious Treatment Regimes. BIOMETRICS, 71(4), 895–904. https://doi.org/10.1111/biom.12354
Johnson, C. W., MacRae, T. C., Brownie, C., Virgets, W., & Allison, J. D. (2015). Observations of Cerceris fumipennis (Hymenoptera: Crabronidae) phenology and variation in its buprestid prey in Louisiana. Florida Entomologist, 98(4), 1106–1113. https://doi.org/10.1653/024.098.0415
Cacho, J. F., Youssef, M. A., Chescheir, G. M., Skaggs, R. W., Leggett, Z. H., Sucre, E. B., … Arellano, C. (2015). Impacts of switchgrass-loblolly pine intercropping on soil physical properties of a drained forest. Transactions of the ASABE, 58(6), 1573–1583. https://doi.org/10.13031/trans.58.11238
Stallings, J. W., & Morgan, J. P. (2015). General weighted optimality of designed experiments. BIOMETRIKA, 102(4), 925–935. https://doi.org/10.1093/biomet/asv037
Guo, Z., Lu, W., & Li, L. (2015). Forward Stagewise Shrinkage and Addition for High Dimensional Censored Regression. STATISTICS IN BIOSCIENCES, 7(2), 225–244. https://doi.org/10.1007/s12561-014-9114-4
Milanzi, E., Molenberghs, G., Alonso, A., Kenward, M. G., Tsiatis, A. A., Davidian, M., & Verbeke, G. (2015). Estimation After a Group Sequential Trial. STATISTICS IN BIOSCIENCES, 7(2), 187–205. https://doi.org/10.1007/s12561-014-9112-6
Walter, V., Wright, F. A., & Nobel, A. B. (2015). Consistent testing for recurrent genomic aberrations. BIOMETRIKA, 102(4), 783–796. https://doi.org/10.1093/biomet/asv046
Shen, W. N., & Ghosal, S. (2015). Adaptive Bayesian procedures using random series priors. Scandinavian Journal of Statistics: Theory and Applications, 42(4), 1194–1213.
Cardinale, B. J., Venail, P., Gross, K., Oakley, T. H., Narwani, A., Allan, E., … Ruijven, J. (2015, December). Further re-analyses looking for effects of phylogenetic diversity on community biomass and stability. FUNCTIONAL ECOLOGY, Vol. 29, pp. 1607–1610. https://doi.org/10.1111/1365-2435.12540
Bradic, J., & Song, R. (2015). Structured estimation for the nonparametric Cox model. ELECTRONIC JOURNAL OF STATISTICS, 9(1), 492–534. https://doi.org/10.1214/15-ejs1004
Mazzoleni, M. J., Antonelli, T., Coyne, K. J., & Rossi, L. F. (2015). Simulation and analysis of a model dinoflagellate predator-prey system. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 224(17-18), 3257–3270. https://doi.org/10.1140/epjst/e2015-50101-x
Rebuli, M. E., Camacho, L., Adonay, M. E., Reif, D. M., Aylor, D. L., & Patisaul, H. B. (2015). Impact of Low-Dose Oral Exposure to Bisphenol A (BPA) on Juvenile and Adult Rat Exploratory and Anxiety Behavior: A CLARITY-BPA Consortium Study. TOXICOLOGICAL SCIENCES, 148(2), 341–354. https://doi.org/10.1093/toxsci/kfv163
Zhou, Y.-H., & Marron, J. S. (2015). High dimension low sample size asymptotics of robust PCA. ELECTRONIC JOURNAL OF STATISTICS, 9(1), 204–218. https://doi.org/10.1214/15-ejs992
Arnold, A., Calvetti, D., Gjedde, A., Iversen, P., & Somersalo, E. (2015). Astrocytic tracer dynamics estimated from [1-C-11]-acetate PET measurements. Mathematical Medicine and Biology-A Journal of the IMA, 32(4), 367–382.
Azriel, D., & Schwartzman, A. (2015). The Empirical Distribution of a Large Number of Correlated Normal Variables. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(511), 1217–1228. https://doi.org/10.1080/01621459.2014.958156
Di, J., Yao, S., Ye, Y., Cui, Z., Yu, J., Ghosh, T. K., … Gu, Z. (2015). Stretch-Triggered Drug Delivery from Wearable Elastomer Films Containing Therapeutic Depots. ACS NANO, 9(9), 9407–9415. https://doi.org/10.1021/acsnano.5b03975
Dickinson, R. M., Freeman, L. J., Simpson, B. A., & Wilson, A. G. (2015). Statistical methods for combining information: Stryker family of vehicles reliability case study. Journal of Quality Technology, 47(4), 400–415. https://doi.org/10.1080/00224065.2015.11918142
Urrutia, E., Lee, S., Maity, A., Zhao, N., Shen, J., Li, Y., & Wu, M. C. (2015). Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT). STATISTICS AND ITS INTERFACE, 8(4), 495–505. https://doi.org/10.4310/sii.2015.v8.n4.a8
Hu, Y.-J., Sun, W., Tzeng, J.-Y., & Perou, C. M. (2015). Proper Use of Allele-Specific Expression Improves Statistical Power for cis-eQTL Mapping with RNA-Seq Data. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(511), 962–974. https://doi.org/10.1080/01621459.2015.1038449
Brown, B. M., Stallings, J. W., Clay, J. S., & Rhoads, M. L. (2015). Periconceptional Heat Stress of Holstein Dams Is Associated with Differences in Daughter Milk Production and Composition during Multiple Lactations. PLOS ONE, 10(10). https://doi.org/10.1371/journal.pone.0133574
Kao, Y., Reich, B., Storlie, C., & Anderson, B. (2015). Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques. TECHNOMETRICS, 57(4), 535–546. https://doi.org/10.1080/00401706.2014.958916
Sun, W., Liu, Y., Crowley, J. J., Chen, T.-H., Zhou, H., Chu, H., … Villena, F. P.-M. (2015). IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(511), 975–986. https://doi.org/10.1080/01621459.2015.1040880
Corvol, H., Blackman, S. M., Boelle, P. Y., Gallins, P. J., Pace, R. G., Stonebraker, J. R., … Patrone, M. V. (2015). Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis. Nature Communications, 6.
Li, M., & Ghosal, S. (2015). Fast translation invariant multiscale image denoising. IEEE Transactions on Image Processing, 24(12), 4876–4887.
Stracuzzi, D. J., Brost, R. C., Phillips, C. A., Robinson, D. G., Wilson, A. G., & Woodbridge, D. M.-K. (2015). Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs. STATISTICAL ANALYSIS AND DATA MINING, Vol. 8, pp. 340–352. https://doi.org/10.1002/sam.11294
Berry, J. W., Fostvedt, L. A., Nordman, D. J., Phillips, C. A., Seshadhri, C., & Wilson, A. G. (2015). WHY DO SIMPLE ALGORITHMS FOR TRIANGLE ENUMERATION WORK IN THE REAL WORLD? INTERNET MATHEMATICS, 11(6), 555–571. https://doi.org/10.1080/15427951.2015.1037030
Fletcher, T. D., Shuster, W., Hunt, W. F., Ashley, R., Butler, D., Arthur, S., … Viklander, M. (2015). [Review of SUDS, LID, BMPs, WSUD and more - The evolution and application of terminology surrounding urban drainage]. URBAN WATER JOURNAL, 12(7), 525–542. https://doi.org/10.1080/1573062x.2014.916314
Smith, L. B., Fuentes, M., Gordon-Larsen, P., & Reich, B. J. (2015). QUANTILE REGRESSION FOR MIXED MODELS WITH AN APPLICATION TO EXAMINE BLOOD PRESSURE TRENDS IN CHINA. ANNALS OF APPLIED STATISTICS, 9(3), 1226–1246. https://doi.org/10.1214/15-aoas841
Ponnusamy, L., Schal, C., Wesson, D. M., Arellano, C., & Apperson, C. S. (2015). Oviposition responses of Aedes mosquitoes to bacterial isolates from attractive bamboo infusions. Parasites & Vectors, 8.
Lassiter, E. S., Russ, C., Nusbaum, C., Zeng, Q., Saville, A. C., Olarte, R. A., … Ristaino, J. B. (2015). Mitochondrial genome sequences reveal evolutionary relationships of the Phytophthora 1c clade species. CURRENT GENETICS, 61(4), 567–577. https://doi.org/10.1007/s00294-015-0480-3
Stone, C. M., & Chitnis, N. (2015). Implications of heterogeneous biting exposure and animal hosts on Trypanosomiasis brucei gambiense transmission and control. PLoS Computational Biology, 11(10).
Borne, K. E., Fassman-Beck, E. A., Winston, R. J., Hunt, W. F., & Tanner, C. C. (2015). Implementation and Maintenance of Floating Treatment Wetlands for Urban Stormwater Management. Journal of Environmental Engineering, 141(11), 04015030. https://doi.org/10.1061/(ASCE)EE.1943-7870.0000959
Mordecai, E. A., Molinari, N. A., Stahlheber, K. A., Gross, K., & D'Antonio, C. (2015). Controls over native perennial grass exclusion and persistence in California grasslands invaded by annuals. Ecology, 96(10), 2643–2652. https://doi.org/10.1890/14-2023.1
Terres, M. A., Lawrence, E., Hosack, G. R., Haywood, M. D. E., & Babcock, R. C. (2015). Assessing habitat use by snapper (Chrysophrys auratus) from baited underwater video data in a coastal marine park. PLoS One, 10(8).
Bai, X., Liu, J., Li, L., & Faries, D. (2015). Adaptive truncated weighting for improving marginal structural model estimation of treatment effects informally censored by subsequent therapy. PHARMACEUTICAL STATISTICS, 14(6), 448–454. https://doi.org/10.1002/pst.1719
Tzeng, J. Y., Magnusson, P. K. E., Sullivan, P. F., & Szatkiewicz, J. P. (2015). A new method for detecting associations with rare copy-number variants. PLoS Genetics, 11(10).
Parker, R. J., Reich, B. J., & Sain, S. R. (2015). A Multiresolution Approach to Estimating the Value Added by Regional Climate Models. JOURNAL OF CLIMATE, 28(22), 8873–8887. https://doi.org/10.1175/jcli-d-14-00557.1
Pang, L., Lu, W. B., & Wang, H. J. (2015). local buckley-james estimation for heteroscedastic accelerated failure time model. Statistica Sinica, 25(3), 863–877.
Whitaker, T. B., Slate, A. B., Nowicki, T. W., & Giesbrecht, F. G. (2015). Variability and distribution among sample test results when sampling unprocessed oat lots for ochratoxin A. WORLD MYCOTOXIN JOURNAL, 8(4), 511–524. https://doi.org/10.3920/wmj2014.1858
Banks, H. T., Baraldi, R., Cross, K., Flores, K., Mcchesney, C., Poag, L., & Thorpe, E. (2015). UNCERTAINTY QUANTIFICATION IN MODELING HIV VIRAL MECHANICS. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 12(5), 937–964. https://doi.org/10.3934/mbe.2015.12.937
Fabina, N. S., Baskett, M. L., & Gross, K. (2015). The differential effects of increasing frequency and magnitude of extreme events on coral populations. ECOLOGICAL APPLICATIONS, 25(6), 1534–1545. https://doi.org/10.1890/14-0273.1
Risselada, M., Mathews, K. G., & Griffith, E. (2015). Surgically planned versus histologically measured lateral tumor margins for resection of cutaneous and subcutaneous mast cell tumors in dogs: 46 cases (2010-2013). JAVMA-JOURNAL OF THE AMERICAN VETERINARY MEDICAL ASSOCIATION, 247(2), 184–189. https://doi.org/10.2460/javma.247.2.184
Ghoshal, S., Kleijn, B., Vaart, A., van, & Zanten, H. (2015). Special issue on Bayesian nonparametrics. Journal of Statistical Planning and Inference, 166, 1–1.
Page, J. L., Winston, R. J., & Hunt, W. F., III. (2015). Soils beneath suspended pavements: An opportunity for stormwater control and treatment. ECOLOGICAL ENGINEERING, 82, 40–48. https://doi.org/10.1016/j.ecoleng.2015.04.060
Hostetter, N. J., Gardner, B., Schweitzer, S. H., Boettcher, R., Wilke, A. L., Addison, L., … Simons, T. R. (2015). Repeated count surveys help standardize multi-agency estimates of American Oystercatcher (Haematopus palliatus) abundance. CONDOR, 117(3), 354–363. https://doi.org/10.1650/condor-14-185.1
Song, R., Wang, W. W., Zeng, D. L., & Kosorok, M. R. (2015). Penalized q-learning for dynamic treatment regimens. Statistica Sinica, 25(3), 901–920.
Caldwell, J. M., Perez-Diaz, I. M., Sandeep, K. P., Simunovic, J., Harris, K., Osborne, J. A., & Hassan, H. M. (2015). Mitochondrial DNA Fragmentation as a Molecular Tool to Monitor Thermal Processing of Plant-Derived, Low-Acid Foods, and Biomaterials. JOURNAL OF FOOD SCIENCE, 80(8), M1804–M1814. https://doi.org/10.1111/1750-3841.12937
Gertheiss, J., Maier, V., Hessel, E. F., & Staicu, A.-M. (2015). Marginal Functional Regression Models for Analyzing the Feeding Behavior of Pigs. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 20(3), 353–370. https://doi.org/10.1007/s13253-015-0212-7
Judson, R. S., Magpantay, F. M., Chickarmane, V., Haskell, C., Tania, N., Taylor, J., … Knudsen, T. B. (2015). Integrated model of chemical perturbations of a biological pathway using 18 in vitro high-throughput screening assays for the estrogen receptor. Toxicological Sciences, 148(1), 137–154.
Abdo, N., Wetmore, B. A., Chappell, G. A., Shea, D., Wright, F. A., & Rusyn, I. (2015). In vitro screening for population variability in toxicity of pesticide-containing mixtures. ENVIRONMENT INTERNATIONAL, 85, 147–155. https://doi.org/10.1016/j.envint.2015.09.012
Cardoza, Y. J., Drake, W. L., Jordan, D. L., Schroeder-Moreno, M. S., Arellano, C., & Brandenburg, R. L. (2015). Impact of Location, Cropping History, Tillage, and Chlorpyrifos on Soil Arthropods in Peanut. ENVIRONMENTAL ENTOMOLOGY, 44(4), 951–959. https://doi.org/10.1093/ee/nvv074
Roode, S. C., Rotroff, D., Avery, A. C., Suter, S. E., Bienzle, D., Schiffman, J. D., … Breen, M. (2015). Genome-wide assessment of recurrent genomic imbalances in canine leukemia identifies evolutionarily conserved regions for subtype differentiation. CHROMOSOME RESEARCH, 23(4), 681–708. https://doi.org/10.1007/s10577-015-9475-7
Demerath, E. W., Guan, W. H., Grove, M. L., Aslibekyan, S., Mendelson, M., Zhou, Y. H., … Li, Y. (2015). Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci. Human Molecular Genetics, 24(15), 4464–4479.
Xiao, W., Wu, Y., & Zhou, H. (2015). ConvexLAR: An Extension of Least Angle Regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 24(3), 603–626. https://doi.org/10.1080/10618600.2014.962700
Brewin, M. P., Birch, M. J., Mehta, D. J., Reeves, J. W., Shaw, S., Kruse, C., … Greenwald, S. E. (2015). Characterisation of Elastic and Acoustic Properties of an Agar-Based Tissue Mimicking Material. ANNALS OF BIOMEDICAL ENGINEERING, 43(10), 2587–2596. https://doi.org/10.1007/s10439-015-1294-7
Parsons, A. W., Simons, T. R., Pollock, K. H., Stoskopf, M. K., Stocking, J. J., & O'connell, A. F., Jr. (2015). Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions. The Journal of Wildlife Management, 79(7), 1163–1172. https://doi.org/10.1002/JWMG.931
Marceau, R., Lu, W., Holloway, S., Sale, M. M., Worrall, B. B., Williams, S. R., … Tzeng, J.-Y. (2015). A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction. GENETIC EPIDEMIOLOGY, 39(6), 456–468. https://doi.org/10.1002/gepi.21909
Laber, E. B., & Zhao, Y. Q. (2015). Tree-based methods for individualized treatment regimes. BIOMETRIKA, 102(3), 501–514. https://doi.org/10.1093/biomet/asv028
Jung, S., Schwartzman, A., & Groisser, D. (2015). SCALING-ROTATION DISTANCE AND INTERPOLATION OF SYMMETRIC POSITIVE-DEFINITE MATRICES. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 36(3), 1180–1201. https://doi.org/10.1137/140967040
Lee, H.-J., Rodrigue, N., & Thorne, J. L. (2015). Relaxing the Molecular Clock to Different Degrees for Different Substitution Types. MOLECULAR BIOLOGY AND EVOLUTION, 32(8), 1948–1961. https://doi.org/10.1093/molbev/msv099
Hecht, E. S., Scholl, E. H., Walker, S. H., Taylor, A. D., Cliby, W. A., Motsinger-Reif, A. A., & Muddiman, D. C. (2015). Relative Quantification and Higher-Order Modeling of the Plasma Glycan Cancer Burden Ratio in Ovarian Cancer Case-Control Samples. JOURNAL OF PROTEOME RESEARCH, 14(10), 4394–4401. https://doi.org/10.1021/acs.jproteome.5b00703
Eduati, F., Mangravite, L. M., Wang, T., Tang, H., Bare, J. C., Huang, R. L., … Tice, R. R. (2015). Prediction of human population responses to toxic compounds by a collaborative competition. Nature Biotechnology, 33(9), 933–172.
Luo, S., & Ghosal, S. (2015). Prediction consistency of forward iterated regression and selection technique. Statistics & Probability Letters, 107, 79–83. https://doi.org/10.1016/j.spl.2015.08.005
Tingley, M., Craigmile, P. F., Haran, M., Li, B., Mannshardt, E., & Rajaratnam, B. (2015). On Discriminating between GCM Forcing Configurations Using Bayesian Reconstructions of Late-Holocene Temperatures. JOURNAL OF CLIMATE, 28(20), 8264–8281. https://doi.org/10.1175/jcli-d-15-0208.1
Dunne, J. C., Reynolds, W. C., Miller, G. L., Arellano, C., Brandenburg, R. L., Schoeman, A., … Milla-Lewis, S. R. (2015). Identification of South African bermudagrass germplasm with shade tolerance. HortScience, 50(10), 1419–1425.
Jack, J., Havener, T. M., McLeod, H. L., Motsinger-Reif, A. A., & Foster, M. (2015). Evaluating the role of admixture in cancer therapy via in vitro drug response and multivariate genome-wide associations. PHARMACOGENOMICS, 16(13), 1451–1463. https://doi.org/10.2217/pgs.15.85
Banks, H. T., Catenacci, J., & Hu, S. H. (2015). Estimation of distributed parameters in permittivity models of composite dielectric materials using reflectance. Journal of Inverse and Ill-Posed Problems, 23(5), 491–509.
Kim, T. J., Bullock, B. P., & Stape, J. L. (2015). Effects of silvicultural treatments on temporal variations of spatial autocorrelation in Eucalyptus plantations in Brazil. FOREST ECOLOGY AND MANAGEMENT, 358, 90–97. https://doi.org/10.1016/j.foreco.2015.09.004
Kays, R., Costello, R., Forrester, T., Baker, M. C., Parsons, A. W., Kalies, E. L., … McShea, W. (2015). Cats are rare where coyotes roam. JOURNAL OF MAMMALOGY, 96(5), 981–987. https://doi.org/10.1093/jmammal/gyv100
McDonald-Lynch, M. B., Marcellin-Little, D. J., Roe, S. C., Lascelles, B. D. X., Trumpatori, B. J., & Griffith, E. H. (2015). Assessment of an implant-skin interface scoring system for external skeletal fixation of dogs. American Journal of Veterinary Research, 76(11), 931–938. https://doi.org/10.2460/ajvr.76.11.931
Martin, D. E. K. (2015). p-values for the Discrete Scan Statistic through Slack Variables. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, Vol. 44, pp. 2223–2239. https://doi.org/10.1080/03610918.2013.777457
Linn, K. A., Laber, E. B., & Stefanski, L. A. (2015). iqLearn: Interactive Q-Learning in R. Journal of Statistical Software, 64(1).
Mele, M., Ferreira, P. G., Reverter, F., DeLuca, D. S., Monlong, J., Sammeth, M., … Calvo, M. (2015). The human transcriptome across tissues and individuals. Science, 348(6235), 660–665.
Ardlie, K. G., DeLuca, D. S., Segre, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., … Winckler, W. (2015). The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans. Science, 348(6235), 648–660.
ghosh. (2015). Stretch, wrap, and relax to smartness. Science, 349(6246), 382–383. https://doi.org/10.1126/science.aac7417
Venail, P., Gross, K., Oakley, T. H., Narwani, A., Allan, E., Flombaum, P., … Cardinale, B. J. (2015). Species richness, but not phylogenetic diversity, influences community biomass production and temporal stability in a re-examination of 16 grassland biodiversity studies. FUNCTIONAL ECOLOGY, 29(5), 615–626. https://doi.org/10.1111/1365-2435.12432
Vock, L. F. B., Reich, B. J., Fuentes, M., & Dominici, F. (2015). Spatial Variable Selection Methods for Investigating Acute Health Effects of Fine Particulate Matter Components. BIOMETRICS, 71(1), 167–177. https://doi.org/10.1111/biom.12254
Kim, T. J., Bullock, B. P., & McKeand, S. E. (2015). Spatial Autocorrelation among Different Levels of Genetic Homogeneity and Spacings in Loblolly Pine. FOREST SCIENCE, 61(3), 438–444. https://doi.org/10.5849/forsci.14-034
Pomann, G.-M., Sweeney, E. M., Reich, D. S., Staicu, A.-M., & Shinohara, R. T. (2015). Scan-stratified case-control sampling for modeling blood-brain barrier integrity in multiple sclerosis. STATISTICS IN MEDICINE, 34(20), 2872–2880. https://doi.org/10.1002/sim.6520
Page, J. L., Winston, R. J., Mayes, D. B., Perrin, C., & Hunt, W. F., III. (2015). Retrofitting with innovative stormwater control measures: Hydrologic mitigation of impervious cover in the municipal right-of-way. JOURNAL OF HYDROLOGY, 527, 923–932. https://doi.org/10.1016/j.jhydrol.2015.04.046
Lee, S. J., Steiner, R. J., Luo, S., Neale, M. C., Styner, M., Zhu, H., & Gilmore, J. H. (2015). Quantitative tract-based white matter heritability in twin neonates. NEUROIMAGE, 111, 123–135. https://doi.org/10.1016/j.neuroimage.2015.02.021
Chatterjee, A., Gupta, S., & Lahiri, S. N. (2015). On the residual empirical process based on the ALASSO in high dimensions and its functional oracle property. JOURNAL OF ECONOMETRICS, 186(2), 317–324. https://doi.org/10.1016/j.jeconom.2015.02.012
Kollitz, E. M., Zhang, G., Hawkins, M. B., Whitfield, G. K., Reif, D. M., & Kullman, S. W. (2015). Molecular Cloning, Functional Characterization, and Evolutionary Analysis of Vitamin D Receptors Isolated from Basal Vertebrates. PLOS ONE, 10(4). https://doi.org/10.1371/journal.pone.0122853
Wang, Z., Maity, A., Hsiao, C. K., Voora, D., Kaddurah-Daouk, R., & Tzeng, J. Y. (2015). Module-based association analysis for omics data with network structure. PLoS ONE, 10(3), 0122309. https://doi.org/10.1371/journal.pone.0122309
Risselada, M., Ellison, G. W., Winter, M. D., Giglio, R. F., Shih, A., Hernandez, J. A., & Griffith, E. (2015). In vitro evaluation of bursting pressure and intestinal luminal area of three jejunostomy tube placement techniques in dogs. AMERICAN JOURNAL OF VETERINARY RESEARCH, 76(5), 467–474. https://doi.org/10.2460/ajvr.76.5.467
Criner, A. K., Cherry, A. J., Cooney, A. T., Katter, T. D., Banks, H. T., Hu, S., & Catenacci, J. (2015). Identification of thermal degradation using probabilistic models in reflectance spectroscopy. 1650, 1898–1906. https://doi.org/10.1063/1.4914816
Yao, F., Lei, E., & Wu, Y. (2015). Effective dimension reduction for sparse functional data. BIOMETRIKA, 102(2), 421–437. https://doi.org/10.1093/biomet/asv006
Eusebio-Balcazar, P., Oviedo-Rondon, E. O., Wineland, M. J., Osborne, J., & Brake, J. (2015). Effect of broiler breeder feeding programme and feeder space change at photostimulation using maize- or wheat-based diets on broiler progeny growth performance and leg health. BRITISH POULTRY SCIENCE, 56(3), 345–360. https://doi.org/10.1080/00071668.2015.1019830
Cheng, D., & Schwartzman, A. (2015). Distribution of the height of local maxima of Gaussian random fields. EXTREMES, 18(2), 213–240. https://doi.org/10.1007/s10687-014-0211-z
Gruen, M. E., Griffith, E. H., Thomson, A. E., Simpson, W., & Lascelles, B. D. X. (2015). Criterion validation testing of clinical metrology instruments for measuring degenerative joint disease associated mobility impairment in cats. PLoS One, 10(7).
Poorman, K., Borst, L., Moroff, S., Roy, S., Labelle, P., Motsinger-Reif, A., & Breen, M. (2015). Comparative cytogenetic characterization of primary canine melanocytic lesions using array CGH and fluorescence in situ hybridization. CHROMOSOME RESEARCH, 23(2), 171–186. https://doi.org/10.1007/s10577-014-9444-6
Huang, Y., Laber, E. B., & Janes, H. (2015). Characterizing expected benefits of biomarkers in treatment selection. BIOSTATISTICS, 16(2), 383–399. https://doi.org/10.1093/biostatistics/kxu039
Shapiro, S. G., Raghunath, S., Williams, C., Motsinger-Reif, A. A., Cullen, J. M., Liu, T., … Breen, M. (2015). Canine urothelial carcinoma: genomically aberrant and comparatively relevant. CHROMOSOME RESEARCH, 23(2), 311–331. https://doi.org/10.1007/s10577-015-9471-y
Reeve, R., Berry, S., Xiao, W., Ferguson, B., Thuerk, M., & Goetz, R. (2015). Benefits of Model-based Drug Development: A Rigorous, Planned Case Study. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, Vol. 44, pp. 2210–2222. https://doi.org/10.1080/03610918.2013.833232
Wu, Y., & Stefanski, L. A. (2015). Automatic structure recovery for additive models. BIOMETRIKA, 102(2), 381–395. https://doi.org/10.1093/biomet/asu070
Bandypadhyay, S., Lahiri, S. N., & Nordman, D. J. (2015). A FREQUENCY DOMAIN EMPIRICAL LIKELIHOOD METHOD FOR IRREGULARLY SPACED SPATIAL DATA. ANNALS OF STATISTICS, 43(2), 519–545. https://doi.org/10.1214/14-aos1291
Mitchell, R. B., Garetz, S., Moore, R. H., Rosen, C. L., Marcus, C. L., Katz, E. S., … Redline, S. (2015). The use of clinical parameters to predict obstructive sleep apnea syndrome severity in children the childhood adenotonsillectomy (CHAT) study randomized clinical trial. Jama Otolaryngology-Head & Neck Surgery, 141(2), 130–136.
Zhao, N., Chen, J., Carroll, I. M., Ringel-Kulka, T., Epstein, M. P., Zhou, H., … Wu, M. C. (2015). Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test. AMERICAN JOURNAL OF HUMAN GENETICS, 96(5), 797–807. https://doi.org/10.1016/j.ajhg.2015.04.003
Gross, K., & Edmunds, P. J. (2015). Stability of Caribbean coral communities quantified by long-term monitoring and autoregression models. ECOLOGY, 96(7), 1812–1822. https://doi.org/10.1890/14-0941.1
Yan, T., Pietrafesa, L. J., Dickey, D. A., Gayes, P. T., & Bao, S. (2015). Seasonal prediction of landfalling hurricanes along Eastern Seaboard of the United States. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 35(9), 2647–2653. https://doi.org/10.1002/joc.4163
Wang, K., Yu, S., Ji, X., Lakner, C., Griffing, A., & Thorne, J. L. (2015). Roles of Solvent Accessibility and Gene Expression in Modeling Protein Sequence Evolution. EVOLUTIONARY BIOINFORMATICS, 11. https://doi.org/10.4137/ebo.s22911
Ivanescu, A. E., Staicu, A.-M., Scheipl, F., & Greven, S. (2015). Penalized function-on-function regression. COMPUTATIONAL STATISTICS, 30(2), 539–568. https://doi.org/10.1007/s00180-014-0548-4
Davenport, C. A., Maity, A., & Wu, Y. (2015). Parametrically guided estimation in nonparametric varying coefficient models with quasi-likelihood. JOURNAL OF NONPARAMETRIC STATISTICS, 27(2), 195–213. https://doi.org/10.1080/10485252.2015.1026903
Banks, H. T., Rubio, D., Saintier, N., & Troparevsky, M. I. (2015). OPTIMAL DESIGN FOR PARAMETER ESTIMATION IN EEG PROBLEMS IN A 3D MULTILAYERED DOMAIN. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 12(4), 739–760. https://doi.org/10.3934/mbe.2015.12.739
Coleman, D. A., Martin, D. E. K., & Reich, B. J. (2015). Multiple window discrete scan statistic for higher-order Markovian sequences. JOURNAL OF APPLIED STATISTICS, 42(8), 1690–1705. https://doi.org/10.1080/02664763.2015.1005061
Smith, L. B., Reich, B. J., Herring, A. H., Langlois, P. H., & Fuentes, M. (2015). Multilevel quantile function modeling with application to birth outcomes. BIOMETRICS, 71(2), 508–519. https://doi.org/10.1111/biom.12294
Kral, T. V. E., Moore, R. H., & Compher, C. W. (2015). Maternal Concern about Child Weight in a Study of Weight-Discordant Siblings. PUBLIC HEALTH NURSING, 32(2), 132–142. https://doi.org/10.1111/phn.12119
Kirol, C. P., Beck, J. L., Huzurbazar, S. V., Holloran, M. J., & Miller, S. N. (2015). Identifying Greater Sage-Grouse source and sink habitats for conservation planning in an energy development landscape. ECOLOGICAL APPLICATIONS, 25(4), 968–990. https://doi.org/10.1890/13-1152.1
Cheng, X., Lu, W., & Liu, M. (2015). Identification of homogeneous and heterogeneous variables in pooled cohort studies. BIOMETRICS, 71(2), 397–403. https://doi.org/10.1111/biom.12285
Hayward, M. W., Boitani, L., Burrows, N. D., Funston, P. J., Karanth, K. U., MacKenzie, D. I., … Yarnell, R. W. (2015). Ecologists need robust survey designs, sampling and analytical methods. JOURNAL OF APPLIED ECOLOGY, 52(2), 286–290. https://doi.org/10.1111/1365-2664.12408
Cakmak, E., Fang, X., Yildiz, O., Bradford, P. D., & Ghosh, T. K. (2015). Carbon nanotube sheet electrodes for anisotropic actuation of dielectric elastomers. CARBON, 89, 113–120. https://doi.org/10.1016/j.carbon.2015.03.011
Banerjee, S., & Ghosal, S. (2015). Bayesian structure learning in graphical models. Journal of Multivariate Analysis, 136, 147–162. https://doi.org/10.1016/J.JMVA.2015.01.015
He, Y., Hoskins, J. M., Clark, S., Campbell, N. H., Wagner, K., Motsinger-Reif, A. A., & McLeod, H. L. (2015). Accuracy of SNPs to predict risk of HLA alleles associated with drug-induced hypersensitivity events across racial groups. PHARMACOGENOMICS, 16(8), 817–824. https://doi.org/10.2217/pgs.15.41
Neely, M. L., Bondell, H. D., & Tzeng, J.-Y. (2015). A penalized likelihood approach for investigating gene-drug interactions in pharmacogenetic studies. BIOMETRICS, 71(2), 529–537. https://doi.org/10.1111/biom.12259
Schnell, P., Bandyopadhyay, D., Reich, B. J., & Nunn, M. (2015). A marginal cure rate proportional hazards model for spatial survival data. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 64(4), 673–691. https://doi.org/10.1111/rssc.12098
Hathaway, J. M., Hunt, W. F., & McCarthy, D. T. (2015). Variability of Intra-event Statistics for Multiple Fecal Indicator Bacteria in Urban Stormwater. WATER RESOURCES MANAGEMENT, 29(10), 3635–3649. https://doi.org/10.1007/s11269-015-1020-0
Rovida, C., Asakura, S., Daneshian, M., Hofman-Huether, H., Leist, M., Meunier, L., … Hartung, T. (2015). Toxicity testing in the 21st century beyond environmental chemicals. Altex-Alternatives to Animal Experimentation, 32(3), 171–181.
McHale, M. R., Pickett, S. T. A., Barbosa, O., Bunn, D. N., Cadenasso, M. L., Childers, D. L., … Zhou, W. Q. (2015). The new global urban realm: complex, connected, diffuse, and diverse social-ecological systems. Sustainability, 7(5), 5211–5240.
Adoteye, K., Banks, H. T., Cross, K., Eytcheson, S., Flores, K. B., LeBlanc, G. A., … Stokely, S. (2015). Statistical validation of structured population models for Daphnia magna. MATHEMATICAL BIOSCIENCES, 266, 73–84. https://doi.org/10.1016/j.mbs.2015.06.003
Zhou, H., & Lange, K. (2015). Path following in the exact penalty method of convex programming. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 61(3), 609–634. https://doi.org/10.1007/s10589-015-9732-x
Zhao, Y.-Q., Zeng, D., Laber, E. B., & Kosorok, M. R. (2015). New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(510), 583–598. https://doi.org/10.1080/01621459.2014.937488
Farjat, A. E., Isik, F., Reich, B. J., Whetten, R. W., & McKeand, S. E. (2015). Modeling Climate Change Effects on the Height Growth of Loblolly Pine. FOREST SCIENCE, 61(4), 703–715. https://doi.org/10.5849/forsci.14-075
Cerda-Gonzalez, S., Olby, N. J., & Griffith, E. H. (2015). Medullary Position at the Craniocervical Junction in Mature Cavalier King Charles Spaniels: Relationship with Neurologic Signs and Syringomyelia. JOURNAL OF VETERINARY INTERNAL MEDICINE, 29(3), 882–886. https://doi.org/10.1111/jvim.12605
Dudgeon, C. L., Pollock, K. H., Braccini, J. M., Semmens, J. M., & Barnett, A. (2015). Integrating acoustic telemetry into mark-recapture models to improve the precision of apparent survival and abundance estimates. OECOLOGIA, 178(3), 761–772. https://doi.org/10.1007/s00442-015-3280-z
Banks, H. T., Doumic, M., Kruse, C., Prigent, S., & Rezaei, H. (2015). Information content in data sets for a nucleated-polymerization model. JOURNAL OF BIOLOGICAL DYNAMICS, 9(1), 172–197. https://doi.org/10.1080/17513758.2015.1050465
Rager, J. E., Tilley, S. K., Tulenko, S. E., Smeester, L., Ray, P. D., Yosim, A., … Del Razo, L. M. (2015). Identification of novel gene targets and putative regulators of arsenic-associated DNA methylation in human urothelial cells and bladder cancer. Chemical Research in Toxicology, 28(6), 1144–1155.
Grantham, N. S., Reich, B. J., Pacifici, K., Laber, E. B., Menninger, H. L., Henley, J. B., … Dunn, R. R. (2015). Fungi Identify the Geographic Origin of Dust Samples. PLOS ONE, 10(4). https://doi.org/10.1371/journal.pone.0122605
Scheipl, F., Staicu, A.-M., & Greven, S. (2015). Functional additive mixed models. Journal of Computational and Graphical Statistics, 24(2), 477–501. https://doi.org/10.1080/10618600.2014.901914
Cerda-Gonzalez, S., Olby, N. J., & Griffith, E. H. (2015). Dorsal Compressive Atlantoaxial Bands and the Craniocervical Junction Syndrome: Association with Clinical Signs and Syringomyelia in Mature Cavalier King Charles Spaniels. JOURNAL OF VETERINARY INTERNAL MEDICINE, 29(3), 887–892. https://doi.org/10.1111/jvim.12604
Cayton, H. L., Haddad, N. M., Gross, K., Diamond, S. E., & Ries, L. (2015). Do growing degree days predict phenology across butterfly species? ECOLOGY, 96(6), 1473–1479. https://doi.org/10.1890/15-0131.1
Ghosal, S. (2015). Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets". Annals of Statistics, 43(4), 1455–1462.
Boos, D. D., & Osborne, J. A. (2015). Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods. INTERNATIONAL STATISTICAL REVIEW, 83(2), 228–238. https://doi.org/10.1111/insr.12087
Gregory, K. B., Carroll, R. J., Baladandayuthapani, V., & Lahiri, S. N. (2015). A Two-Sample Test for Equality of Means in High Dimension. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(510), 837–849. https://doi.org/10.1080/01621459.2014.934826
Gregory, K. B., Lahiri, S. N., & Nordman, D. J. (2015). A SMOOTH BLOCK BOOTSTRAP FOR STATISTICAL FUNCTIONALS AND TIME SERIES. JOURNAL OF TIME SERIES ANALYSIS, 36(3), 442–461. https://doi.org/10.1111/jtsa.12117
Holosko, M. J., Winkel, M., Crandall, C., & Briggs, H. (2015). A Content Analysis of Mission Statements of Our Top 50 Schools of Social Work. JOURNAL OF SOCIAL WORK EDUCATION, 51(2), 222–236. https://doi.org/10.1080/10437797.2015.1012922
Garetz, S. L., Mitchell, R. B., Parker, P. D., Moore, R. H., Rosen, C. L., Giordani, B., … Redline, S. (2015). Quality of Life and Obstructive Sleep Apnea Symptoms After Pediatric Adenotonsillectomy. PEDIATRICS, 135(2), E477–E486. https://doi.org/10.1542/peds.2014-0620
Abdo, N., Xia, M., Brown, C. C., Kosyk, O., Huang, R., Sakamuru, S., … Wright, F. A. (2015). Population-Based in Vitro Hazard and Concentration-Response Assessment of Chemicals: The 1000 Genomes High-Throughput Screening Study. ENVIRONMENTAL HEALTH PERSPECTIVES, 123(5), 458–466. https://doi.org/10.1289/ehp.1408775
Banks, J. E., Banks, H. T., Rinnovatore, K., & Jackson, C. M. (2015). Optimal sampling frequency and timing of threatened tropical bird populations: A modeling approach. ECOLOGICAL MODELLING, 303, 70–77. https://doi.org/10.1016/j.ecolmodel.2015.02.005
Gonzalez, L. M., Fogle, C. A., Baker, W. T., Hughes, F. E., Law, J. M., Motsinger-Reif, A. A., & Blikslager, A. T. (2015). Operative factors associated with short-term outcome in horses with large colon volvulus: 47 cases from 2006 to 2013. EQUINE VETERINARY JOURNAL, 47(3), 279–284. https://doi.org/10.1111/evj.12273
Guinness, J., & Fuentes, M. (2015). Likelihood approximations for big nonstationary spatial temporal lattice data. Statistica Sinica, 25(1), 329–349.
Li, M., Staicu, A.-M., & Bondell, H. D. (2015). Incorporating covariates in skewed functional data models. Biostatistics (Oxford, England), 16(3), 413–426. https://doi.org/10.1093/biostatistics/kxu055
Banks, H. T., Flores, K. B., Hu, S., Rosenberg, E., Buzon, M., Yu, X., & Lichterfeld, M. (2015). Immuno-modulatory strategies for reduction of HIV reservoir cells. JOURNAL OF THEORETICAL BIOLOGY, 372, 146–158. https://doi.org/10.1016/j.jtbi.2015.02.006
Zhou, Y.-H., & Wright, F. A. (2015). Hypothesis testing at the extremes: fast and robust association for high-throughput data. BIOSTATISTICS, 16(3), 611–625. https://doi.org/10.1093/biostatistics/kxv007
Ke, Z. T., Fan, J., & Wu, Y. (2015). Homogeneity Pursuit. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(509), 175–194. https://doi.org/10.1080/01621459.2014.892882
O’Neal, W. K., Gallins, P., Pace, R. G., Dang, H., Wolf, W. E., Jones, L. C., … Knowles, M. R. (2015). Gene Expression in Transformed Lymphocytes Reveals Variation in Endomembrane and HLA Pathways Modifying Cystic Fibrosis Pulmonary Phenotypes. The American Journal of Human Genetics, 96(2), 318–328. https://doi.org/10.1016/J.AJHG.2014.12.022
Doll, B. A., Jennings, G. D., Spooner, J., Penrose, D. L., & Usset, J. L. (2015). EVALUATING THE ECO-GEOMORPHOLOGICAL CONDITION OF RESTORED STREAMS USING VISUAL ASSESSMENT AND MACROINVERTEBRATE METRICS. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 51(1), 68–83. https://doi.org/10.1111/jawr.12233
Rosero, D. S., Odle, J., Arellano, C., Boyd, R. D., & Heugten, E. (2015). Development of prediction equations to estimate the apparent digestible energy content of lipids when fed to lactating sows. JOURNAL OF ANIMAL SCIENCE, 93(3), 1165–1176. https://doi.org/10.2527/jas.2014-8402
Ducharme, N. A., Reif, D. M., Gustafsson, J. A., & Bondesson, M. (2015). Comparison of toxicity values across zebrafish early life stages and mammalian studies: Implications for chemical testing. Reproductive Toxicology (Elmsford, N.Y.), 55, 3–10.
Winston, R. J., Lauffer, M. S., Narayanaswamy, K., McDaniel, A. H., Lipscomb, B. S., Nice, A. J., & Hunt, W. F. (2015). Comparing Bridge Deck Runoff and Stormwater Control Measure Quality in North Carolina. Journal of Environmental Engineering, 141(1), 04014045. https://doi.org/10.1061/(ASCE)EE.1943-7870.0000864
Chang, H. H., Warren, J. L., Darrow, L. A., Reich, B. J., & Waller, L. A. (2015). Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study. BIOSTATISTICS, 16(3), 509–521. https://doi.org/10.1093/biostatistics/kxu060
Bernhardt, P. W., Zhang, D., & Wang, H. J. (2015). A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 85, 37–53. https://doi.org/10.1016/j.csda.2014.11.011
Seabloom, E. W., Borer, E. T., Gross, K., Kendig, A. E., Lacroix, C., Mitchell, C. E., … Power, A. G. (2015). [Review of The community ecology of pathogens: coinfection, coexistence and community composition]. ECOLOGY LETTERS, 18(4), 401–415. https://doi.org/10.1111/ele.12418
Page, J. L., Winston, R. J., Mayes, D. B., Perrin, C. A., & Hunt, W. F., III. (2015). Retrofitting Residential Streets with Stormwater Control Measures over Sandy Soils for Water Quality Improvement at the Catchment Scale. JOURNAL OF ENVIRONMENTAL ENGINEERING, 141(4). https://doi.org/10.1061/(asce)ee.1943-7870.0000898
O'Dushlaine, C., Rossin, L., Lee, P. H., Duncan, L., Parikshak, N. N., Newhouse, S., … Goddard, M. E. (2015). Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nature Neuroscience, 18(2), 199–209.
Reich, B. J., & Porter, M. D. (2015). Partially supervised spatiotemporal clustering for burglary crime series identification. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 178(2), 465–480. https://doi.org/10.1111/rssa.12076
Zhao, Y. Q., Zeng, D., Laber, E. B., Song, R., Yuan, M., & Kosorok, M. R. (2015). Doubly robust learning for estimating individualized treatment with censored data. BIOMETRIKA, 102(1), 151–168. https://doi.org/10.1093/biomet/asu050
Kong, D., Bondell, H. D., & Wu, Y. (2015). Domain selection for the varying coefficient model via local polynomial regression. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 83, 236–250. https://doi.org/10.1016/j.csda.2014.10.004
Watts, J. C., Ross, C. R., & Jones, T. C. (2015). Diel and life-history characteristics of personality: consistency versus flexibility in relation to ecological change. ANIMAL BEHAVIOUR, 101, 43–49. https://doi.org/10.1016/j.anbehav.2014.12.020
Ward, J. L., DeFrancesco, T. C., Tou, S. P., Atkins, C. E., Griffith, E. H., & Keene, B. W. (2015). Complication Rates Associated with Transvenous Pacemaker Implantation in Dogs with High-Grade Atrioventricular Block Performed During versus After Normal Business Hours. JOURNAL OF VETERINARY INTERNAL MEDICINE, 29(1), 157–163. https://doi.org/10.1111/jvim.12512
Xiao, Y., Ku, Y.-C., Bloomfield, P., & Ghosh, S. K. (2015). On the degrees of freedom in MCMC-based Wishart models for time series data. STATISTICS & PROBABILITY LETTERS, 98, 59–64. https://doi.org/10.1016/j.spl.2014.12.012
Geng, Y., Zhang, H. H., & Lu, W. (2015). On optimal treatment regimes selection for mean survival time. STATISTICS IN MEDICINE, 34(7), 1169–1184. https://doi.org/10.1002/sim.6397
Banks, H. T., Banks, J. E., Link, K., Rosenheim, J. A., Ross, C., & Tillman, K. A. (2015). Model comparison tests to determine data information content. APPLIED MATHEMATICS LETTERS, 43, 10–18. https://doi.org/10.1016/j.aml.2014.11.002
Chitwood, M. C., Lashley, M. A., Kilgo, J. C., Pollock, K. H., Moorman, C. E., & DePerno, C. S. (2015). Do Biological and Bedsite Characteristics Influence Survival of Neonatal White-Tailed Deer? PLOS ONE, 10(3). https://doi.org/10.1371/journal.pone.0119070
Zhao, G. L., Marceau, R., Zhang, D. W., & Tzeng, J. Y. (2015). Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression. Genetics, 199(3), 695-.
Beam, A. L., Motsinger-Reif, A. A., & Doyle, J. (2015). An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics. Biodata Mining, 8.
Barden, L. M., Osborne, J. A., McMahon, D. J., & Foegeding, E. A. (2015). Investigating the filled gel model in Cheddar cheese through use of Sephadex beads. JOURNAL OF DAIRY SCIENCE, 98(3), 1502–1516. https://doi.org/10.3168/jds.2014-8597
Knazovicky, D., Tomas, A., Motsinger-Reif, A., & Lascelles, B. D. X. (2015). Initial evaluation of nighttime restlessness in a naturally occurring canine model of osteoarthritis pain. PeerJ, 3.
Zhao, N., Bell, D. A., Maity, A., Staicu, A.-M., Joubert, B. R., London, S. J., & Wu, M. C. (2015). Global Analysis of Methylation Profiles From High Resolution CpG Data. GENETIC EPIDEMIOLOGY, 39(2), 53–64. https://doi.org/10.1002/gepi.21874
Vetter, M. L., Wadden, T. A., Teff, K. L., Khan, Z. F., Carvajal, R., Ritter, S., … Rickels, M. R. (2015). GLP-1 plays a limited role in improved glycemia shortly after Roux-en-Y gastric bypass: A comparison with intensive lifestyle modification. Diabetes, 64(2), 434–446. https://doi.org/10.2337/db14-0558
Sun, W., Reich, B. J., Cai, T. T., Guindani, M., & Schwartzman, A. (2015). False discovery control in large-scale spatial multiple testing. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 77(1), 59–83. https://doi.org/10.1111/rssb.12064
Adoteye, K., Banks, H. T., Flores, K. B., & LeBlanc, G. A. (2015). Estimation of time-varying mortality rates using continuous models for Daphnia magna. APPLIED MATHEMATICS LETTERS, 44, 12–16. https://doi.org/10.1016/j.aml.2014.12.014
Stephenson, A. G., Shaby, B. A., Reich, B. J., & Sullivan, A. L. (2015). Estimating Spatially Varying Severity Thresholds of a Forest Fire Danger Rating System Using Max-Stable Extreme-Event Modeling. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 54(2), 395–407. https://doi.org/10.1175/jamc-d-14-0041.1
Wang, Z., Maity, A., Luo, Y., Neely, M. L., & Tzeng, J.-Y. (2015). Complete Effect-Profile Assessment in Association Studies With Multiple Genetic and Multiple Environmental Factors. GENETIC EPIDEMIOLOGY, 39(2), 122–133. https://doi.org/10.1002/gepi.21877
Adoteye, K., Banks, H. T., & Flores, K. B. (2015). Optimal design of non-equilibrium experiments for genetic network interrogation. APPLIED MATHEMATICS LETTERS, 40, 84–89. https://doi.org/10.1016/j.aml.2014.09.013
Staicu, A.-M., Lahiri, S. N., & Carroll, R. J. (2015). Significance tests for functional data with complex dependence structure. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 156, 1–13. https://doi.org/10.1016/j.jspi.2014.08.006
Kachouie, N. N., Gerke, T., Huybers, P., & Schwartzman, A. (2015). Nonparametric Regression for Estimation of Spatiotemporal Mountain Glacier Retreat From Satellite Images. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 53(3), 1135–1149. https://doi.org/10.1109/tgrs.2014.2334643