Statistics - 2016

Mollinari, M., Pereira, G. S., Shumann, M., Yencho, C., Zeng, Z.-B., & Garcia, A. A. F. (2016). Construction of Genetic Maps in Complex Autopolyploids. International Conference in Quantitative Genetics 5. Poster presented at the International Conference in Quantitative Genetics 5, Madison, WI, USA.

Sengupta, S. (2016). Statistical analysis of networks with community structure and bootstrap methods for big data. University of Illinois at Urbana-Champaign.

Sengupta, S., Volgushev, S., & Shao, X. (2016). A subsampled double bootstrap for massive data. Journal of the American Statistical Association, 111(515), 1222–1232.

Gelfand, A. E., & Schliep, E. M. (2016). Spatial statistics and Gaussian processes: A beautiful marriage. Spatial Statistics, 18, 86–104. https://doi.org/10.1016/j.spasta.2016.03.006

Martin, R., & Lin, Y. (2016). Exact prior-free probabilistic inference in a class of non-regular models. Stat, 5(1), 312–321. https://doi.org/10.1002/STA4.130

Martin, R., & Lingham, R. T. (2016). Prior-Free Probabilistic Prediction of Future Observations. Technometrics, 58(2), 225–235. https://doi.org/10.1080/00401706.2015.1017116

Ghosh, S. K., Burns, C., Prager, D., Zhang, L., & Hui, G. (2016). On Nonparametric Estimation of the Latent Distribution for Ordinal Data (Department of Statistics Technical Report No. 2661). Raleigh, NC: North Carolina State University.

Ghosh, S. (2016, March 25). Dynamic Model Based Methods to Test for Biosimilarity. Presented at the Department of Statistics Colloquium, University of Connecticut, Storrs, CT.

Ghosh, S. (2016, March). Statistical Methods to Test for Biosimilarity. Presented at the ASA Continuing Education Webinar of Biopharmaceutical Section.

Ghosh, S., Best, N., Lipkovich, I., & Song, G. (2016, May 1). Short Course Bayesian Methods for Biostatisticians. Presented at the Trends and Innovations in Clinical Trial Statistics Conference, Durham, NC.

Ghosh, S. (2016, May). Semi-parametric Model Based Methods to Test for Biosimilarity. Presented at the Department of Statistics Colloquium, Oregon State University, Corvallis, OR.

Ghosh, S. (2016). Effects of PM on Mortality. Presented at the Statistical Methods and Analysis of Environmental Health Data Workshop (SAMSI-SAVI), Mumbai, India.

Ghosh, S. (2016). Some New Metrics to Test for Biosimilarity. Presented at the Joint Statistical Meetings, McCormick Place, Chicago, IL.

Ghosh, S. (2016). Analyzing Liver Transplant Waiting Times using Semi-Parametric Models for Ordinal Predictors. Presented at the International Indian Statistical Association (IISA) Conference, Oregon State University, Corvallis, OR.

Ghosh, S. (2016). Dynamic Correlation Multivariate Stochastic Volatility with Latent Factors. Presented at the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, University of North Carolina, Greensboro, NC.

Ghosh, S. (2016). Statistical Metrics for Biosimilarity. Presented at the SACNAS Annual Conference, Long Beach, CA.

Ghosh, S. (2016, November 10). Nonparametric Regression Models for Right-censored Data: Beyond Proportional Hazards. Presented at the Biostatistics Seminar, School of Public Health University of Pittsburgh, Pittsburgh, PA.

Ghosh, S. (2016). Statistical Inference Subject to Shape Constraint. Presented at the Helen Barton Lecture Series in Mathematical Sciences, Department of Mathematics and Statistics, University of North Carolina, Greensboro, NC.

Ghosh, S. (2016). Semiparametric Estimation of the Mass-Radius Joint Distribution for Sub-Neptune Sized Planets. Presented at the Platinum Jubilee International Conference on Applied Statistics, Calcutta University, Kolkata, India.

Ghosh, S. (2016, December 23). Bayesian Sample Size Determination for Clinical Trials. Presented at the Workshop on Clinical Data Analytics, Indian Institute of Public Health, Hyderabad, India.

Ghosh, S. (2016). Bayesian Methods using WinBUGS: A Case study with Count Data. Presented at the Workshop on Quantitative Methods for Public Health Researchers, Calcutta University, Kolkata, India.

Ghosh, S. K., & Anand, S. (2016). A Novel Bayesian Approach to Analyzing `Thorough QT/QTc Study'. Journal of Statistical Research, 48-50(2), 21–36.

Ceyhan, E. (2016). Edge density of new graph types based on a random digraph family. Statistical Methodology, 33, 31–54. https://doi.org/10.1016/J.STAMET.2016.07.003

Yang, J., Huang, T., Petralia, F., Long, Q., Zhang, B., Argmann, C., … Tu, Z. (2016). Erratum: Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases. Scientific Reports, 6(1), 19384. https://doi.org/10.1038/SREP19384

Xiao, L., Zipunnikov, V., Ruppert, D., & Crainiceanu, C. (2016). Fast covariance estimation for high-dimensional functional data. Statistics and Computing, 26(1-2), 409–421. https://doi.org/10.1007/S11222-014-9485-X

Wilson, A. G., & Fronczyk, K. M. (2016). Bayesian Reliability: Combining Information. Quality Engineering, 0–0. https://doi.org/10.1080/08982112.2016.1211889

Kim, S., Toledo, J. B., Nho, K., Risacher, S. L., Shen, L., Thompson, J. W., … Metabolomics Consortium, A. D. (2016). GENETIC INFLUENCE ON LEVELS OF TARGETED METABOLITES ASSOCIATED WITH ALZHEIMER’S DISEASE. Alzheimer's & Dementia, 12(7), P164–P165. https://doi.org/10.1016/J.JALZ.2016.06.276

Toledo, J. B., Thompson, J. W., St. John Williams, L., Tenenbaum, J., Han, X., Baillie, R. A., … Kaddurah-Daouk, R. F. (2016). THE ALZHEIMER’S METABOLOME: RELATIONSHIP TO PATHOLOGICAL MARKERS AND COGNITIVE DECLINE IN THE ALZHEIMER’S DISEASE NEUROIMAGING INITIATIVE (ADNI). Alzheimer's & Dementia, 12(7), P164. https://doi.org/10.1016/J.JALZ.2016.06.275

Jiang, C., Pesic-VanEsbroeck, Z., Osborne, J. A., & Schultheis, J. R. (2016). Factors Affecting Greenhouse Sweetpotato Slip Production. International Journal of Vegetable Science, 23(3), 185–194. https://doi.org/10.1080/19315260.2016.1228729

Gusev, A., Ko, A., Shi, H., Bhatia, G., Chung, W., Penninx, B. W. J. H., … Pasaniuc, B. (2016). Integrative approaches for large-scale transcriptome-wide association studies. Nature Genetics, 48(3), 245–252. https://doi.org/10.1038/NG.3506

Guinness, J., & Fuentes, M. (2016). Isotropic covariance functions on spheres: Some properties and modeling considerations. Journal of Multivariate Analysis, 143, 143–152. https://doi.org/10.1016/J.JMVA.2015.08.018

Zhou, K., Yee, S. W., Seiser, E. L., van Leeuwen, N., Tavendale, R., Bennett, A. J., … Pearson, E. R. (2016). Variation in the glucose transporter gene SLC2A2 is associated with glycemic response to metformin. Nature Genetics, 48(9), 1055–1059. https://doi.org/10.1038/NG.3632

Kling, M. A., Goodenowe, D. B., Toledo, J. B., Senanayake, V., Baillie, R. A., Lucas, J. E., … Kaddurah-Daouk, R. F. (2016). INDICES OF PLASMALOGEN BIOSYNTHESIS IN ADNI-1 BASELINE SERUM SAMPLES: ASSOCIATION WITH PROGRESSION TO DEMENTIA IN SUBJECTS WITH MILD COGNITIVE IMPAIRMENT. Alzheimer's & Dementia, 12(7), P879–P880. https://doi.org/10.1016/J.JALZ.2016.06.1817

De la Cruz, F. B., Osborne, J., & Barlaz, M. A. (2016). Determination of Sources of Organic Matter in Solid Waste by Analysis of Phenolic Copper Oxide Oxidation Products of Lignin. Journal of Environmental Engineering, 142(2), 04015076. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001038

Rousse, C. A., Olby, N. J., Williams, K., Harris, T. L., Griffith, E. H., Mariani, C. L., … Early, P. J. (2016). Recovery of stepping and coordination in dogs following acute thoracolumbar intervertebral disc herniations. The Veterinary Journal, 213, 59–63. https://doi.org/10.1016/J.TVJL.2016.04.002

Banks, H. T., Banks, J. E., Murad, N., Rosenheim, J. A., & Tillman, K. (2016). Modelling Pesticide Treatment Effects on Lygus hesperus in Cotton Fields. In IFIP Advances in Information and Communication Technology (pp. 95–106). https://doi.org/10.1007/978-3-319-55795-3_8

Stevenson, K. T., Peterson, M. N., & Bondell, H. D. (2016). The influence of personal beliefs, friends, and family in building climate change concern among adolescents. Environmental Education Research, 25(6), 832–845. https://doi.org/10.1080/13504622.2016.1177712

Vigna, B. B. Z., Santos, J. C. S., Jungmann, L., do Valle, C. B., Mollinari, M., Pastina, M. M., … Souza, A. P. (2016). Evidence of Allopolyploidy in Urochloa humidicola Based on Cytological Analysis and Genetic Linkage Mapping. PLOS ONE, 11(4), e0153764. https://doi.org/10.1371/journal.pone.0153764

Davidian, M., Tsiatis, A. A., & Laber, E. B. (2016). Dynamic treatment regimes. In S. L. George, X. Wang, & H. Pang (Eds.), Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis (pp. 409–446). Boca Raton: Chapman & Hall/CRC Press.

Davidian, M., Tsiatis, A. A., & Laber, E. B. (2016). Optimal Dynamic Treatment Regimes. https://doi.org/10.1002/9781118445112.stat07895

Jiang, R., Lu, W., Song, R., & Davidian, M. (2016). On estimation of optimal treatment regimes for maximizing t
-year survival probability. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(4), 1165–1185. https://doi.org/10.1111/rssb.12201

Fan, C., Lu, W., Song, R., & Zhou, Y. (2016). Concordance-assisted learning for estimating optimal individualized treatment regimes. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(5), 1565–1582. https://doi.org/10.1111/rssb.12216

Huang, L., Reiss, P. T., Xiao, L., Zipunnikov, V., Lindquist, M. A., & Crainiceanu, C. M. (2016). Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data. Biostatistics, 8, kxw040. https://doi.org/10.1093/biostatistics/kxw040

Bien, J., Bunea, F., & Xiao, L. (2016). Convex Banding of the Covariance Matrix. Journal of the American Statistical Association, 111(514), 834–845. https://doi.org/10.1080/01621459.2015.1058265

Yang, S., & Kim, J. K. (2016). A note on multiple imputation for method of moments estimation. Biometrika, 103(1), 244–251. https://doi.org/10.1093/biomet/asv073

Yang, S., & Kim, J. K. (2016). Fractional Imputation in Survey Sampling: A Comparative Review. Statistical Science, 31(3), 415–432. https://doi.org/10.1214/16-sts569

Yang, S., & Lok, J. J. (2016). A goodness-of-fit test for structural nested mean models. Biometrika, 103(3), 734–741. https://doi.org/10.1093/biomet/asw031

Guan, Q., Laber, E. B., & Reich, B. J. (2016). Comment. Journal of the American Statistical Association, 111(515), 936–942. https://doi.org/10.1080/01621459.2016.1200911

Laber, E. B., Shedden, K., & Yang, Y. (2016). An Imputation Method for Estimating the Learning Curve in Classification Problems. In Statistical Analysis for High-Dimensional Data (pp. 189–209). https://doi.org/10.1007/978-3-319-27099-9_9

Chen, J., Liu, Y., Zeng, D., Song, R., Zhao, Y., & Kosorok, M. R. (2016). Comment. Journal of the American Statistical Association, 111(515), 942–947. https://doi.org/10.1080/01621459.2016.1200914

Tian, X., Patel, K., Ridpath, J. R., Chen, Y., Zhou, Y.-H., Neo, D., … others. (2016). Homologous recombination and translesion DNA synthesis play critical roles on tolerating DNA damage caused by trace levels of hexavalent chromium. PloS One, 11(12), e0167503.

Luizon, M. R., Eckalbar, W. L., Wang, Y., Jones, S. L., Smith, R. P., Laurance, M., … others. (2016). Genomic characterization of metformin hepatic response. PLoS Genetics, 12(11), e1006449.

Zhou, Y.-H., & Marron, J. S. (2016). Visualization of robust L1PCA. Stat, 5(1), 173–184. https://doi.org/10.1002/STA4.113

Palowitch, J., Shabalin, A., Zhou, Y., Nobel, A. B., & Wright, F. A. (2016). Estimation of interpretable eQTL effect sizes using a log of linear model. ArXiv Preprint ArXiv:1605.08799.

Tzeng, J. Y., & Maity, A. (2016). Marker-set Approaches for Assessing Gene-Environment Interactions at Gene Level. In Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes.

Usset, J., Staicu, A.-M., & Maity, A. (2016). Interaction models for functional regression. Computational Statistics & Data Analysis, 94, 317–329. https://doi.org/10.1016/J.CSDA.2015.08.020

Warren, J. L., Fuentes, M., Herring, A. H., & Langlois, P. H. (2016). Spatiotemporal modeling of preterm birth. Handbook of Spatial Epidemiology, 649–663.

Reich, B. J. (2016). Quantile regression for epidemiological applications. Handbook of Spatial Epidemiology, 239–249.

Wentworth, M. T., Smith, R. C., & Banks, H. T. (2016). Parameter Selection and Verification Techniques Based on Global Sens Analysis Illustrated for an HIV Model. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 4(1), 266–297. https://doi.org/10.1137/15m1008245

Graham, H. T., Rotroff, D. M., Marvel, S. W., Buse, J. B., Havener, T. M., Wilson, A. G., … Motsinger-Reif, A. A. (2016). Incorporating concomitant medications into genome-wide analyses for the study of complex disease and drug response. Frontiers in Genetics, 7.

McKnight, M., Agcayazi, T., Kausche, H., ghosh, & Bozkurt, A. (2016). Sensing textile seam-line for wearable multimodal physiological monitoring. 2016 38th annual international conference of the ieee engineering in medicine and biology society (embc), 311–314. https://doi.org/10.1109/embc.2016.7590702

Latif, T., Yang, M., Lobaton, E., & Bozkurt, A. (2016). Preliminary statistical assessment towards characterization of biobotic control. 2016 38th annual international conference of the ieee engineering in medicine and biology society (embc), 2184–2187.

Backus, G. A., & Gross, K. (2016). Genetic engineering to eradicate invasive mice on islands: modeling the efficiency and ecological impacts. Ecosphere, 7(12). https://doi.org/10.1002/ECS2.1589

Zhang, B., Tsiatis, A. A., Davidian, M., Zhang, M., & Laber, E. (2016). Estimating optimal treatment regimes from a classification perspective (vol 1, pg 103, 2012). STAT, Vol. 5, pp. 278–278. https://doi.org/10.1002/sta4.124

Newman, A. P., & Hunt, W. F. (2016). The Restoration of James Brindley’s Last Canal and the Serious Threat from 21st Century Transport Infrastructure Developments. World Environmental and Water Resources Congress 2016, 124–133. https://doi.org/10.1061/9780784479841.014

Kapoor, A., McKnight, M., Chatterjee, K., Agcayazi, T., Kausche, H., ghosh, & Bozkurt, A. (2016). Soft, flexible 3D printed fibers for capacitive tactile sensing. 2016 ieee sensors. https://doi.org/10.1109/icsens.2016.7808918

Schuman, C. D., Disney, A., Singh, S. P., Bruer, G., Mitchell, J. P., Klibisz, A., & Plank, J. S. (2016). Parallel evolutionary optimization for neuromorphic network training. Proceedings of 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 36–46.

Agcayazi, T., McKnight, M., Kausche, H., ghosh, & Bozkurt, A. (2016). A finger touch force detection method for textile based capacitive tactile sensor arrays. 2016 ieee sensors. https://doi.org/10.1109/icsens.2016.7808528

Nissen, S. B., Magidson, T., Gross, K., & Bergstrom, C. T. (2016). Publication bias and the canonization of false facts. Elife, 5.

Theisen, C., & Williams, L. (2016). Poster: risk-based attack surface approximation. Symposium and Bootcamp on the Science of Security, 121–123.

Shivkumar, A. P., Wang-Li, L., Shah, S. B., Stikeleather, L. F., & Fuentes, M. (2016). Performance analysis of a poultry engineering chamber complex for animal environment, air quality, and welfare studies. Transactions of the ASABE, 59(5), 1371–1382.

Goldberg, Y., Lu, W., & Fine, J. (2016). Oracle estimation of parametric transformation models. ELECTRONIC JOURNAL OF STATISTICS, 10(1), 90–120. https://doi.org/10.1214/15-ejs1083

Wang, H. Y., Polhamus, D., Rogers, J., Romero, K., Gaitonde, P., Corrigan, B., & Ito, K. (2016). Interactive web applications for clinical trial simulation and reporting: R Shiny with 'adsim' package for model-based simulation in Alzheimer's disease. Journal of Pharmacokinetics and Pharmacodynamics, 43, S98–98.

Tian, X., Patel, K., Ridpath, J. R., Chen, Y. J., Zhou, Y. H., Neo, D., … Nakamura, J. (2016). Homologous recombination and translesion DNA synthesis play critical roles on tolerating DNA damage caused by trace levels of hexavalent chromium. PLoS One, 11(12).

Zhang, W. J., Swangnetr, M., Bloomfield, P., & Kaber, D. (2016). Electromyography (EMG) as a tool for computerized psychomotor test validation. Advances in physical ergonomics and human factors, 489, 967–978.

Youth, M. D., Hess, G. R., Peterson, M. N., McHale, M. R., & Bigsby, K. M. (2016). Demographic shifts around drinking water supply reservoirs in North Carolina, USA. LOCAL ENVIRONMENT, 21(7), 827–843. https://doi.org/10.1080/13549839.2015.1035240

Russell, B. T., Cooley, D. S., Porter, W. C., Reich, B. J., & Heald, C. L. (2016). DATA MINING TO INVESTIGATE THE METEOROLOGICAL DRIVERS FOR EXTREME GROUND LEVEL OZONE EVENTS. ANNALS OF APPLIED STATISTICS, 10(3), 1673–1698. https://doi.org/10.1214/16-aoas954

Hooker, G., Ramsay, J. O., & Xiao, L. (2016). CollocInfer: Collocation Inference in Differential Equation Models. Journal of Statistical Software, 75(2). https://doi.org/10.18637/jss.v075.i02

Lan, Z., Zhao, Y. Z., Kang, J., & Yu, T. W. (2016). Bayesian network feature finder (BANFF): an r package for gene network feature selection. Bioinformatics, 32(23), 3685–3687.

Balderama, E., Gardner, B., & Reich, B. J. (2016). A spatial-temporal double-hurdle model for extremely over-dispersed avian count data. SPATIAL STATISTICS, 18, 263–275. https://doi.org/10.1016/j.spasta.2016.05.001

Pomann, G.-M., Staicu, A.-M., Lobaton, E. J., Mejia, A. F., Dewey, B. E., Reich, D. S., … Shinohara, R. T. (2016). A LAG FUNCTIONAL LINEAR MODEL FOR PREDICTION OF MAGNETIZATION TRANSFER RATIO IN MULTIPLE SCLEROSIS LESIONS. Annals of Applied Statistics, 10(4), 2325–2348. https://doi.org/10.1214/16-aoas981

Martin, R., Stufken, J., & Yang, M. (2016). A Conversation with Samad Hedayat. STATISTICAL SCIENCE, 31(4), 637–647. https://doi.org/10.1214/16-sts579

Zhang, Y., Staicu, A.-M., & Maity, A. (2016). Testing for additivity in non-parametric regression. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 44(4), 445–462. https://doi.org/10.1002/cjs.11295

Banks, H. T., Baraldi, R., Catenacci, J., & Myers, N. (2016). Parameter Estimation Using Unidentified Individual Data in Individual Based Models. MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 11(6), 9–27. https://doi.org/10.1051/mmnp/201611602

Zhang, C., Liu, Y. F., & Wu, Y. C. (2016). On quantile regression in reproducing kernel hilbert spaces with the data sparsity constraint. Journal of Machine Learning Research, 17.

Luo, S., & Ghosal, S. (2016). Forward selection and estimation in high dimensional single index models. Statistical Methodology, 33, 172–179. https://doi.org/10.1016/j.stamet.2016.09.002

Risselada, M., Mathews, K. G., & Griffith, E. (2016). Effect of feline skin specimen preparation on postexcision and postfixation tissue shrinkage. JOURNAL OF FELINE MEDICINE AND SURGERY, 18(12), 970–975. https://doi.org/10.1177/1098612x15602951

Lenhardt, W. C., Conway, M., Scott, E., Blanton, B., Krishnamurthy, A., Hadzikadic, M., … Wilson, A. (2016). Cross-institutional research cyberinfrastructure for data intensive science. 2016 ieee high performance extreme computing conference (hpec). https://doi.org/10.1109/hpec.2016.7761597

Scherrer, B., Schwartzman, A., Taquet, M., Sahin, M., Prabhu, S. P., & Warfield, S. K. (2016). Characterizing brain tissue by assessment of the distribution of anisotropic microstructural environments in diffusion-compartment imaging (DIAMOND). Magnetic Resonance in Medicine, 76(3), 963–977.

Risselada, M., Marcellin-Little, D. J., Messenger, K. M., Griffith, E., Davidson, G. S., & Papich, M. G. (2016). Assessment of in vitro release of carboplatin from six carrier media. AMERICAN JOURNAL OF VETERINARY RESEARCH, 77(12), 1381–1386. https://doi.org/10.2460/ajvr.77.12.1381

Zhang, X., Wu, Y. C., Wang, L., & Li, R. Z. (2016). A consistent information criterion for support vector machines in diverging model spaces. Journal of Machine Learning Research, 17.

Meng, T., Perrin, M. T., Allen, J. C., Osborne, J., Jones, F., & Fogleman, A. D. (2016). Storage of Unfed and Leftover Pasteurized Human Milk. BREASTFEEDING MEDICINE, 11(10), 538–543. https://doi.org/10.1089/bfm.2016.0139

Shi, C., Song, R., & Lu, W. (2016). Robust learning for optimal treatment decision with NP-dimensionality. ELECTRONIC JOURNAL OF STATISTICS, 10(2), 2894–2921. https://doi.org/10.1214/16-ejs1178

Rotroff, D. M., Joubert, B. R., Marvel, S. W., Haberg, S. E., Wu, M. C., Nilsen, R. M., … Motsinger-Reif, A. (2016). Maternal smoking impacts key biological pathways in newborns through epigenetic modification in Utero. BMC Genomics, 17.

Schwartzman, A. (2016). Lognormal Distributions and Geometric Averages of Symmetric Positive Definite Matrices. INTERNATIONAL STATISTICAL REVIEW, 84(3), 456–486. https://doi.org/10.1111/insr.12113

Johnson, J. P., & Hunt, W. F. (2016). Evaluating the spatial distribution of pollutants and associated maintenance requirements in an 11 year-old bioretention cell in urban Charlotte, NC. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 184, 363–370. https://doi.org/10.1016/j.jenvman.2016.10.009

Ghosal, S. (2016). Editorial overview: Special issue on Bayesian nonparametrics. Subhashis Ghosal Guest editor of the special issue on Bayesian nonparametrics. Electronic Journal of Statistics, 10(2), 3217–3218.

Banks, H. T., & Catenacci, J. (2016). Aggregate data and the Prohorov Metric Framework: Efficient gradient computation. APPLIED MATHEMATICS LETTERS, 56, 1–9. https://doi.org/10.1016/j.aml.2015.12.004

Gruen, M. E., Messenger, K. M., Thomson, A. E., Griffith, E. H., Paradise, H., Vaden, S., & Lascelles, B. D. X. (2016). A comparison of serum and plasma cytokine values using a multiplexed assay in cats. VETERINARY IMMUNOLOGY AND IMMUNOPATHOLOGY, 182, 69–73. https://doi.org/10.1016/j.vetimm.2016.10.003

Mizzi, C., Dalabira, E., Kumuthini, J., Dzimiri, N., Balogh, I., Basak, N., … Kasiulevicius, V. (2016). A European spectrum of pharmacogenomic biomarkers: Implications for clinical pharmacogenomics. PLoS One, 11(9).

Carmen, N. B., Hunt, W. F., & Anderson, A. R. (2016). Volume Reduction Provided by Eight Residential Disconnected Downspouts in Durham, North Carolina. Journal of Environmental Engineering, 142(10), 05016002. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001107

Kojima, F., & Banks, H. T. (2016). Statistical parameter estimation of dielectric materials using MCMC for nonlinear hierarchical models. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, Vol. 52, pp. 49–54. https://doi.org/10.3233/jae-162207

Banks, H. T., Catenacci, J., & Criner, A. (2016). Quantifying the degradation in thermally treated ceramic matrix composites. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, Vol. 52, pp. 3–24. https://doi.org/10.3233/jae-162168

Yang, S., Imbens, G. W., Cui, Z., Faries, D. E., & Kadziola, Z. (2016). Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments. BIOMETRICS, 72(4), 1055–1065. https://doi.org/10.1111/biom.12505

Lizotte, D. J., & Laber, E. B. (2016). Multi-objective markov decision processes for data-driven decision support. Journal of Machine Learning Research, 17.

Oh, Y. H., & Thuente, D. J. (2016). Jamming and advanced modular-based blind rendezvous algorithms for cognitive radio networks. 2016 IEEE 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM). https://doi.org/10.1109/wowmom.2016.7523514

Peng, B., Wang, L., & Wu, Y. C. (2016). An Error bound for l-1-norm support vector machine coefficients in ultra-high dimension. Journal of Machine Learning Research, 17.

Novick, S. J., Zhang, X., & Yang, H. (2016). A new PK equivalence test for a bridging study. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 26(5), 992–1002. https://doi.org/10.1080/10543406.2016.1148712

Winston, R. J., Al-Rubaei, A. M., Blecken, G. T., & Hunt, W. F. (2016). A Simple Infiltration Test for Determination of Permeable Pavement Maintenance Needs. Journal of Environmental Engineering, 142(10), 06016005. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001121

Jones, Z. G., & Goodman, M. M. (2016). Susceptibility of Dent-Sterile Popcorn to the Ga1-m Gametophyte Factor. CROP SCIENCE, 56(5), 2594–2599. https://doi.org/10.2135/cropsci2016.02.0101

Stevenson, E. R., Chitwood, M. C., Lashley, M. A., Pollock, K. H., Swingen, M. B., Moorman, C. E., & DePerno, C. S. (2016). Survival and Cause-Specific Mortality of Coyotes on a Large Military Installation. SOUTHEASTERN NATURALIST, 15(3), 459–466. https://doi.org/10.1656/058.015.0307

Gai, L., Jin, Q.-W., Tian, Y., & Huang, Y.-H. (2016). Reducing Multivalued Discrete Variables in Solving Separable Task Assignment Problems. JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA, 4(1), 97–110. https://doi.org/10.1007/s40305-015-0087-x

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Bai, J., Di, C., Xiao, L., Evenson, K. R., LaCroix, A. Z., Crainiceanu, C. M., & Buchner, D. M. (2016). An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics. PLOS ONE, 11(8), 1–14. https://doi.org/10.1371/journal.pone.0160644

Concha, C., Palavesam, A., Guerrero, F. D., Sagel, A., Li, F., Osborne, J. A., … Scott, M. J. (2016). A transgenic male-only strain of the New World screwworm for an improved control program using the sterile insect technique. BMC Biology, 14.

Parker, R. J., Reich, B. J., & Eidsvik, J. (2016). A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 21(3), 569–587. https://doi.org/10.1007/s13253-016-0251-8

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Hickey, C. C., Hatch, T. A., Stallings, J., & Wolf, T. K. (2016). Under-Trellis Cover Crop and Rootstock Affect Growth, Yield Components, and Fruit Composition of Cabernet Sauvignon. AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE, 67(3), 281–295. https://doi.org/10.5344/ajev.2016.15079

Clark, N. M., Hinde, E., Winter, C. M., Fisher, A. P., Crosti, G., Blilou, I., … Sozzani, R. (2016). Tracking transcription factor mobility and interaction in Arabidopsis roots with fluorescence correlation spectroscopy. Elife, 5.

Winston, R. J., Davidson-Bennett, K. M., Buccier, K. M., & Hunt, W. F. (2016). Seasonal Variability in Stormwater Quality Treatment of Permeable Pavements Situated Over Heavy Clay and in a Cold Climate. WATER AIR AND SOIL POLLUTION, 227(5). https://doi.org/10.1007/s11270-016-2839-6

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Doll, B., Jennings, G., Spooner, J., Penrose, D., Usset, J., Blackwell, J., & Fernandez, M. (2016). Identifying watershed, landscape, and engineering design factors that influence the biotic condition of restored streams. Water, 8(4). https://doi.org/10.3390/w8040151

Reinhart, J. M., Motsinger-Reif, A., Dickey, A., Yale, S., & Trepanier, L. A. (2016). Genome-wide association study in immunocompetent patients with delayed hypersensitivity to sulfonamide antimicrobials. PLoS One, 11(6).

Bergh, J. C., & Stallings, J. W. (2016). Field evaluations of the contribution of predators and the parasitoid, Aphelinus mali, to biological control of woolly apple aphid, Eriosoma lanigerum, in Virginia, USA. BIOCONTROL, 61(2), 155–165. https://doi.org/10.1007/s10526-016-9714-7

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Zhang, G., Huang, K.-C., Xu, Z., Tzeng, J.-Y., Conneely, K. N., Guan, W., … Li, Y. (2016). Across-Platform Imputation of DNA Methylation Levels Incorporating Nonlocal Information Using Penalized Functional Regression. GENETIC EPIDEMIOLOGY, 40(4), 333–340. https://doi.org/10.1002/gepi.21969

Irvin, M. R., Rotroff, D. M., Aslibekyan, S., Zhi, D. G., Hidalgo, B., Motsinger-Reif, A., … Rotter, J. I. (2016). A genome-wide study of lipid response to fenofibrate in Caucasians: A combined analysis of the GOLDN and ACCORD studies. Pharmacogenetics and Genomics, 26(7), 324–333.

Panza, N. M., Wright, A. A., & Selgrade, J. F. (2016). A delay differential equation model of follicle waves in women. JOURNAL OF BIOLOGICAL DYNAMICS, 10(1), 200–221. https://doi.org/10.1080/17513758.2015.1115564

Cobb, J., Eckhart, A., Motsinger-Reif, A., Carr, B., Groop, L., & Ferrannini, E. (2016). alpha-Hydroxybutyric Acid Is a Selective Metabolite Biomarker of Impaired Glucose Tolerance. DIABETES CARE, 39(6), 988–995. https://doi.org/10.2337/dc15-2752

Stemkovski, M., Baraldi, R., Flores, K. B., & Banks, H. T. (2016). Validation of a mathematical model for green algae (Raphidocelis Subcapitata) growth and implications for a coupled dynamical system with Daphnia magna. Applied Sciences-Basel, 6(5).

Orlando, J. M., Case, B. C., Thomson, A. E., Griffith, E., & Sherman, B. L. (2016). Use of oral trazodone for sedation in cats: a pilot study. JOURNAL OF FELINE MEDICINE AND SURGERY, 18(6), 476–482. https://doi.org/10.1177/1098612x15587956

King, A., Laubmeier, A., Orans, K., & Godbole, A. (2016). Universal and Overlap Cycles for Posets, Words, and Juggling Patterns. GRAPHS AND COMBINATORICS, 32(3), 1013–1025. https://doi.org/10.1007/s00373-015-1632-4

Risselada, M., Mathews, K. G., & Griffith, E. (2016). The effect of specimen preparation on post-excision and post-fixation dimensions, translation, and distortion of canine cadaver skin-muscle-fascia specimens. Veterinary Surgery, 45(5), 563–570. https://doi.org/10.1111/vsu.12481

Hathaway, J. M., Winston, R. J., Brown, R. A., Hunt, W. F., & McCarthy, D. T. (2016). Temperature dynamics of stormwater runoff in Australia and the USA. SCIENCE OF THE TOTAL ENVIRONMENT, 559, 141–150. https://doi.org/10.1016/j.scitotenv.2016.03.155

Cheng, D., & Xiao, Y. (2016). THE MEAN EULER CHARACTERISTIC AND EXCURSION PROBABILITY OF GAUSSIAN RANDOM FIELDS WITH STATIONARY INCREMENTS. ANNALS OF APPLIED PROBABILITY, 26(2), 722–759. https://doi.org/10.1214/15-aap1101

Yoo, W. W., & Ghosal, S. (2016). Supremum norm posterior contraction and credible sets for nonparametric multivariate regression. Annals of Statistics, 44(3), 1069–1102.

Fan, A., Lu, W., & Song, R. (2016). SEQUENTIAL ADVANTAGE SELECTION FOR OPTIMAL TREATMENT REGIME. ANNALS OF APPLIED STATISTICS, 10(1), 32–53. https://doi.org/10.1214/15-aoas849

Harskamp, R. E., Alexander, J. H., Ferguson, T. B., Hager, R., Mack, M. J., Englum, B., … Lopes, R. D. (2016). Response to letters regarding article, "Frequency and Predictors of Internal Mammary Artery Graft Failure and Subsequent Clinical Outcomes: Insights From the Project of Ex-Vivo Vein Graft Engineering via Transfection (PREVENT) IV Trial".

Schreeg, M. E., Marr, H. S., Griffith, E. H., Tarigo, J. L., Bird, D. M., Reichard, M. V., … Birkenheuer, A. J. (2016). PCR amplification of a multi-copy mitochondrial gene (cox3) improves detection of Cytauxzoon felis infection as compared to a ribosomal gene (18S). VETERINARY PARASITOLOGY, 225, 123–130. https://doi.org/10.1016/j.vetpar.2016.06.013

Banks, H. T., Flores, K. B., & Sindi, S. S. (2016). On analytical and numerical approaches to division and label structured population models. APPLIED MATHEMATICS LETTERS, 60, 81–88. https://doi.org/10.1016/j.aml.2016.04.009

Green, C. L., Brownie, C., Boos, D. D., Lu, J.-C., & Krucoff, M. W. (2016). Maximum likelihood estimation of time to first event in the presence of data gaps and multiple events. STATISTICAL METHODS IN MEDICAL RESEARCH, 25(2), 775–792. https://doi.org/10.1177/0962280212466089

Hu, H., Wu, Y., & Yao, W. (2016). Maximum likelihood estimation of the mixture of log-concave densities. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 101, 137–147. https://doi.org/10.1016/j.csda.2016.03.002

Wrobel, J., Park, S. Y., Staicu, A. M., & Goldsmith, J. (2016). Interactive graphics for functional data analyses. STAT, 5(1), 108–118. https://doi.org/10.1002/sta4.109

Edmunds, P. J., Comeau, S., Lantz, C., Andersson, A., Briggs, C., Cohen, A., … Carpenter, R. C. (2016). Integrating the Effects of Ocean Acidification across Functional Scales on Tropical Coral Reefs. BIOSCIENCE, 66(5), 350–362. https://doi.org/10.1093/biosci/biw023

Meals, C., Roy, S., Medvedev, G., Wallace, M., Neviaser, R. J., & O'Brien, J. (2016). Identifying the Risk of Swallowing-Related Pulmonary Complications in Older Patients With Hip Fracture. ORTHOPEDICS, 39(1), E93–E97. https://doi.org/10.3928/01477447-20151222-07

Jones, Z. G., Goodman, M. M., & Krakowsky, M. D. (2016). Identification of maize-derived dominant gametophyte factors. EUPHYTICA, 209(1), 63–69. https://doi.org/10.1007/s10681-016-1635-0

Lee, H. J., Kishino, H., Rodrigue, N., & Thorne, J. L. (2016). Grouping substitution types into different relaxed molecular clocks. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 371(1699).

Tan, Z., Xu, G., Orndorff, P. E., & Shirwaiker, R. A. (2016). Effects of Electrically Activated Silver-Titanium Implant System Design Parameters on Time-Kill Curves Against Staphylococcus aureus. JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 36(3), 325–333. https://doi.org/10.1007/s40846-016-0136-x

Long, J. P., Chi, E. C., & Baraniuk, R. G. (2016). ESTIMATING A COMMON PERIOD FOR A SET OF IRREGULARLY SAMPLED FUNCTIONS WITH APPLICATIONS TO PERIODIC VARIABLE STAR DATA. ANNALS OF APPLIED STATISTICS, 10(1), 165–197. https://doi.org/10.1214/15-aoas885

Martinez, M. R., Osborne, J., Jayeola, V. O., Katic, V., & Kathariou, S. (2016). Capacity of Listeria monocytogenes Strains from the 2011 Cantaloupe Outbreak To Adhere, Survive, and Grow on Cantaloupe. JOURNAL OF FOOD PROTECTION, 79(5), 757–763. https://doi.org/10.4315/0362-028x.jfp-15-498

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