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 PM<sub>2.5</sub>across 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 PM<sub>2.5</sub> 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

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