Statistics - 2013

Schliep, E. M., & Hoeting, J. A. (2013). Multilevel Latent Gaussian Process Model for Mixed Discrete and Continuous Multivariate Response Data. Journal of Agricultural, Biological, and Environmental Statistics, 18(4), 492–513. https://doi.org/10.1007/s13253-013-0136-z

Merrill, S. C., Walter, S. M., Peairs, F. B., & Schleip, E. M. (2013). The Distribution of European Corn Borer (Lepidoptera: Crambidae) Moths in Pivot-Irrigated Corn. Journal of Economic Entomology, 106(5), 2084–2092. https://doi.org/10.1603/ec12358

Turnbull, B., Ghosal, S., & Zhang, H. H. (2013). Iterative selection using orthogonal regression techniques. Statistical Analysis and Data Mining, 6(6), 557–564. https://doi.org/10.1002/SAM.11212

Bean, G. J., Dimarco, E. A., Mercer, L. D., Thayer, L. K., Roy, A., & Ghosal, S. (2013). Finite skew-mixture models for estimation of positive false discovery rates. Statistical Methodology, 10(1), 46–57. https://doi.org/10.1016/j.stamet.2012.05.005

Thomas White, J., & Ghosal, S. (2013). Denoising three-dimensional and colored images using a Bayesian multi-scale model for photon counts. Signal Processing, 93(11), 2906–2914. https://doi.org/10.1016/J.SIGPRO.2013.04.003

Hunt, W. (2013). Advanced rainwater harvesting and stormwater. Journal of Chemical Health and Safety, 20(3), 42. https://doi.org/10.1016/J.JCHAS.2013.03.407

Cizek, A. R., & Hunt, III, W. F. (2013). Partitioning Pre-Development Hydrology in Order to Mimic Pre-Development Water Quality. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013. https://doi.org/10.1061/9780784412947.025

Martin, R. (2013). An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures. Communications in Statistics - Simulation and Computation, 42(7), 1533–1548. https://doi.org/10.1080/03610918.2012.667476

Martin, R., & Liu, C. (2013). Correction. Journal of the American Statistical Association, 108(503), 1138–1139. https://doi.org/10.1080/01621459.2013.796885

Martin, R., & Liu, C. (2013). Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference. Journal of the American Statistical Association, 108(501), 301–313. https://doi.org/10.1080/01621459.2012.747960

Wang, L., & Ghosh, S. K. (2013). Nonparametric Models for Longitudinal Data Using Bernstein Polynomial Sieve (Department of Statistics Technical Report No. 2651). Raleigh, NC: North Carolina State University.

Thongjaem, P., Ghosh, S. K., & Budsaba, K. (2013). The Least Squares Methods of Estimation using Bernstein Polynomials for Density Estimation. Thailand Statistician, 11, 45–65.

Kunthong, T., Ghosh, S. K., & Chaimongkol, S. (2013). Bayesian Analysis of ZeroAltered Poisson Regression Models. Thailand Statistician, 11, 111–131.

Ghosh, S. (2013). Nonparametric Gaussian Process Models for Censored Longitudinal Data. Presented at the Joint Statistical Meeting, Montreal, Canada.

Ghosh, S. (2013). Shape Restricted regression Models: A short course. Presented at the International Indian Statistical Association Conference, Chennai, India.

Ghosh, S. (2013, January 3). Nonparametric Models for Longitudinal Data Using Bernstein Polynomials. Presented at the International Indian Statistical Association Conference, Chennai, India.

Ghosh, S. (2013, April). Nonparametric Models for Longitudinal Data Using Bernstein Polynomials. Presented at the Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.

McLain, A. C., & Ghosh, S. K. (2013). Efficient Sieve Maximum Likelihood Estimation of Time-Transformation Models. Journal of Statistical Theory and Practice, 7(2), 285–303. https://doi.org/10.1080/15598608.2013.772835

Ghosh, S. K. (2013). NCSU-CUSP: A Program Making a Difference in Quantitative Sciences. In J. Rychtář, S. Gupta, R. Shivaji, & M. Chhetri (Eds.), Springer Proceedings in Mathematics & Statistics (pp. 7–13). https://doi.org/10.1007/978-1-4614-9332-7_2

Merriman, L. S., & Hunt, W. F. (2013). Investigating Whether or Not Constructed Stormwater Wetlands Need Maintenance to Sustain Performance and the Effect of Vegetation Occupancy in the Designed Storage Volume. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013. https://doi.org/10.1061/9780784412947.293

Srikanth, H., Banerjee, S., Williams, L., & Osborne, J. (2013). Towards the prioritization of system test cases. Software Testing, Verification and Reliability, 24(4), 320–337. https://doi.org/10.1002/STVR.1500

Coskun, A., Ceyhan, E., Inal, T. C., Serteser, M., & Unsal, I. (2013). The comparison of parametric and nonparametric bootstrap methods for reference interval computation in small sample size groups. Accreditation and Quality Assurance, 18(1), 51–60. https://doi.org/10.1007/S00769-012-0948-5

Tzeng, J.-Y. (2013). Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics, 45(9), 984–994. https://doi.org/10.1038/NG.2711

Li, Y., Chen, W., Liu, E. Y., & Zhou, Y.-H. (2013). Single Nucleotide Polymorphism (SNP) Detection and Genotype Calling from Massively Parallel Sequencing (MPS) Data. Statistics in Biosciences, 5(1), 3–25. https://doi.org/10.1007/S12561-012-9067-4

Goldberg, Y., Song, R., & Kosorok, M. R. (2013). Adaptive Q-learning. In M. Bannerjee, F. Bunea, J. Huang, V. Koltchinskii, & M. H. Maathuis (Eds.), From Probability to Statistics and Back: High-Dimensional Models and Processes (pp. 150–162). Beachwood, Ohio: Institute of Mathematical Statistics.

Kim, J. K., Zhu, Z., & Yang, S. (2013). Improved estimation for June Area Survey incorporating several information. Proceedings 59th ISI World Statistics Congress, 199–204.

Ratnanather, J. T., Poynton, C. B., Pisano, D. V., Crocker, B., Postell, E., Cebron, S., … Barta, P. E. (2013). Morphometry of superior temporal gyrus and planum temporale in schizophrenia and psychotic bipolar disorder. Schizophrenia Research, 150(2-3), 476–483. https://doi.org/10.1016/J.SCHRES.2013.08.014

Takayanagi, M., Wentz, J., Takayanagi, Y., Schretlen, D. J., Ceyhan, E., Wang, L., … Cascella, N. G. (2013). Reduced anterior cingulate gray matter volume and thickness in subjects with deficit schizophrenia. Schizophrenia Research, 150(2-3), 484–490. https://doi.org/10.1016/J.SCHRES.2013.07.036

Ceyhan, E., Ertuğay, K., & Düzgün, Ş. (2013). Exploratory and inferential methods for spatio-temporal analysis of residential fire clustering in urban areas. Fire Safety Journal, 58, 226–239. https://doi.org/10.1016/J.FIRESAF.2013.01.024

Ghosh, A., Wright, F. A., & Zou, F. (2013). Unified Analysis of Secondary Traits in Case–Control Association Studies. Journal of the American Statistical Association, 108(502), 566–576. https://doi.org/10.1080/01621459.2013.793121

Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., … Moore, H. F. (2013). The Genotype-Tissue Expression (GTEx) project. Nature Genetics, 45(6), 580–585. https://doi.org/10.1038/NG.2653

Sirenko, O., Cromwell, E. F., Crittenden, C., Wignall, J. A., Wright, F. A., & Rusyn, I. (2013). Assessment of beating parameters in human induced pluripotent stem cells enables quantitative in vitro screening for cardiotoxicity. Toxicology and Applied Pharmacology, 273(3), 500–507. https://doi.org/10.1016/J.TAAP.2013.09.017

Byrnes, A. E., Wu, M. C., Wright, F. A., Li, M., & Li, Y. (2013). The Value of Statistical or Bioinformatics Annotation for Rare Variant Association With Quantitative Trait. Genetic Epidemiology, 37(7), 666–674. https://doi.org/10.1002/GEPI.21747

Torres, P. A., Zhang, D., & Wang, H. J. (2013). Constructing Conditional Reference Charts for Grip Strength Measured with Error. In Springer Proceedings in Mathematics & Statistics (pp. 299–310). https://doi.org/10.1007/978-1-4614-7846-1_24

Banks, H. T., & Rehm, K. L. (2013). Experimental design for vector output systems. Inverse Problems in Science and Engineering, 22(4), 557–590. https://doi.org/10.1080/17415977.2013.797973

Makowski, M. S., Bryan, I., Sitar, Z., Arellano, C., Xie, J., Collazo, R., & Ivanisevic, A. (2013). Erratum: “Kinase detection with gallium nitride based high electron mobility transistors” [Appl. Phys. Lett. 103, 013701 (2013)]. Applied Physics Letters, 103(8), 089902. https://doi.org/10.1063/1.4819200

Thomas, L., Stefanski, L. A., & Davidian, M. (2013). Bias Reduction in Logistic Regression with Estimated Variance Predictors. In ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers (pp. 33–51). https://doi.org/10.1007/978-1-4614-6871-4_2

Biai, C. J., Garzon, J. G., Osborne, J. A., Schultheis, J. R., Gehl, R. J., & Gunter, C. C. (2013). Bell Pepper Seedling Phytotoxicity Due to Abscisic Acid Drench Applications. International Journal of Vegetable Science, 19(1), 4–12. https://doi.org/10.1080/19315260.2011.650297

Zhang, K., Hughes-Oliver, J. M., & Young, S. S. (2013). Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree. Technometrics, 55(2), 161–173. https://doi.org/10.1080/00401706.2012.760489

Greenwald, S. E., Banks, H. T., Birch, M. J., Brewin, M. P., Hu, S., Kenz, Z. R., … Whiteman, J. R. (2013). Acoustic localisation of coronary artery stenosis: Wave propagation in soft tissue mimicking gels. Artery Research, 7(3-4), 124. https://doi.org/10.1016/J.ARTRES.2013.10.081

Shaw, S., Whiteman, J. R., Greenwald, S. E., Kruse, C., Banks, H. T., Birch, M. J., … Brewin, M. P. (2013). Towards computational diagnosis of coronary artery disease. Artery Research, 7(3-4), 123–124. https://doi.org/10.1016/J.ARTRES.2013.10.079

Banks, H. T., & Rehm, K. L. (2013). Experimental design for distributed parameter vector systems. Applied Mathematics Letters, 26(1), 10–14. https://doi.org/10.1016/j.aml.2012.08.003

Winston, R. J., Bouchard, N. R., & Hunt, W. F. (2013). Carbon Sequestration by Roadside Filter Strips and Swales: A Field Study. Green Streets, Highways, and Development 2013. Presented at the Second Conference on Green Streets, Highways, and Development. https://doi.org/10.1061/9780784413197.028

Winston, R. J., Page, J. L., & Hunt, W. F. (2013). Catchment Scale Hydrologic and Water Quality Impacts of Residential Stormwater Street Retrofits in Wilmington, North Carolina. Green Streets, Highways, and Development 2013. Presented at the Second Conference on Green Streets, Highways, and Development. https://doi.org/10.1061/9780784413197.014

Anderson, A. R., Hunt, W. F., & Smolek, A. P. (2013). Water Quality and Hydrologic Performance of a Permeable Pavement-Modular Bioretention Treatment Train and a Stormwater Filter Box in Fayetteville, North Carolina. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013. https://doi.org/10.1061/9780784412947.300

Wilson, C. E., Hunt, W. F., Winston, R. J., & Smith, P. K. (2013). A Comparison of Runoff Quality and Quantity from a Urban Commercial Infill Low Impact Development and a Conventional Development. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013. https://doi.org/10.1061/9780784412947.288

Winston, R. J., & Hunt, W. F. (2013). Monitoring of Representative Particle Size Distributions and Gross Solids from Roadways and Application to SCM Design. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013. https://doi.org/10.1061/9780784412947.023

Page, J. L., Winston, R. J., & Hunt, W. F. (2013). Catchment-Scale Evaluation of the Hydrologic and Water Quality Impacts of Residential Street Retrofits in Wilmington, NC. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013. https://doi.org/10.1061/9780784412947.013

Merriman, L. S., Wilson, C. E., Winston, R. J., & Hunt, W. F. (2013). Assessing the Importance of Temporary Storage Volume Occupied by Emergent Vegetation in Constructed Storm Water Wetlands. Journal of Hydrologic Engineering, 18(10), 1372–1376. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000713

Brown, R. A., Skaggs, R. W., & Hunt, W. F., III. (2013). Calibration and validation of DRAINMOD to model bioretention hydrology. Journal of Hydrology, 486, 430–442. https://doi.org/10.1016/J.JHYDROL.2013.02.017

Winston, R. J., Hunt, W. F., Kennedy, S. G., Merriman, L. S., Chandler, J., & Brown, D. (2013). Evaluation of floating treatment wetlands as retrofits to existing stormwater retention ponds. Ecological Engineering, 54, 254–265. https://doi.org/10.1016/J.ECOLENG.2013.01.023

Price, W. D., Burchell, M. R., II, Hunt, W. F., & Chescheir, G. M. (2013). Long-term study of dune infiltration systems to treat coastal stormwater runoff for fecal bacteria. Ecological Engineering, 52, 1–11. https://doi.org/10.1016/j.ecoleng.2012.12.008

Prescott, J., Vogel, C., Pollock, K., Hyson, S., Oktaviani, D., & Panggabean, A. S. (2013). Estimating sea cucumber abundance and exploitation rates using removal methods. Marine and Freshwater Research, 64(7), 599. https://doi.org/10.1071/MF12081

Lin, C.-Y., Bondell, H., Zhang, H. H., & Zou, H. (2013). Variable selection for non-parametric quantile regression via smoothing spline analysis of variance. Stat, 2(1), 255–268. https://doi.org/10.1002/STA4.33

Garcia, A. A. F., Mollinari, M., Marconi, T. G., Serang, O. R., Silva, R. R., Vieira, M. L. C., … Souza, A. P. (2013). SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids. Scientific Reports, 3(1). https://doi.org/10.1038/srep03399

Xu, M., Xu, X., & Zhou, Y.-hui. (2013). Stochastic comparisons in a price-quantity setting firm with uncertain demand and emergency procurement. Journal of Systems Science and Systems Engineering, 22(4), 401–420. https://doi.org/10.1007/S11518-013-5226-5

Sullivan, L. M., Davidian, M., DeStefano, A. L., & Stone, R. A. (2013). Building the Biostatistics Pipeline: Summer Institutes for Training in Biostatistics (SIBS). CHANCE, 26(1), 4–9. https://doi.org/10.1080/09332480.2013.772386

Xiao, L., Li, Y., & Ruppert, D. (2013). Fast bivariateP-splines: the sandwich smoother. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 75(3), 577–599. https://doi.org/10.1111/rssb.12007

Yang, S., Kim, J.-K., & Zhu, Z. (2013). Parametric fractional imputation for mixed models with nonignorable missing data. Statistics and Its Interface, 6(3), 339–347. https://doi.org/10.4310/sii.2013.v6.n3.a4

Yang, S., Kim, J.-K., & Shin, D. W. (2013). Imputation methods for quantile estimation under missing at random. Statistics and Its Interface, 6(3), 369–377. https://doi.org/10.4310/sii.2013.v6.n3.a7

Chi, E. C., Allen, G. I., Zhou, H., Kohannim, O., Lange, K., & Thompson, P. M. (2013). Imaging genetics via sparse canonical correlation analysis. Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, 740–743. https://doi.org/10.1109/ISBI.2013.6556581

Chi, E. C., Zhou, H., & Lange, K. (2013). Distance majorization and its applications. Mathematical Programming, 1–28. https://doi.org/10.1007/s10107-013-0697-1

Xu, M., Xu, X., & Zhou, Y.-hui. (2013). Stochastic comparisons in a price-quantity setting firm with uncertain demand and emergency procurement. Journal of Systems Science and Systems Engineering, 22(4), 401–420.

Esther, C. R., Zhou, Y., Wright, F., & Boucher, R. C. (2013). Metabolomic Evaluation Of Cystic Fibrosis Airways Disease. In A26. PEDIATRIC CYSTIC FIBROSIS (pp. A1165–A1165). American Thoracic Society.

Zhou, Y.-H., Mayhew, G., Sun, Z., Xu, X., Zou, F., & Wright, F. A. (2013). Space-time clustering and the permutation moments of quadratic forms. Stat, 2(1), 292–302. https://doi.org/10.1002/STA4.37

Sun, Z., Oey, L.-Y., & Zhou, Y.-H. (2013). Skill-assessments of statistical and Ensemble Kalman Filter data assimilative analyses using surface and deep observations in the Gulf of Mexico. Frontiers of Earth Science, 7(3), 271–281. https://doi.org/10.1007/S11707-013-0377-8

Zhou, Y.-H., Barry, W. T., & Wright, F. A. (2013). Empirical pathway analysis, without permutation. Biostatistics, (doi:10.1093/biostatistics/kxt004), 1–13.

Gertheiss, J., Maity, A., & Staicu, A.-M. (2013). Variable selection in generalized functional linear models. Stat, 2(1), 86–101. https://doi.org/10.1002/sta4.20

Liu, C.-Y., Maity, A., Lin, X., Wright, R., & Christiani, D. (2013). Design and Analysis Issues in Gene and Environment Studies. Exploring Connections Between Genetic Mechanisms and Disease Expression, Vol. 11, p. 339–370. https://doi.org/10.1201/b16304-14

Maity, A., Williams, P. L., Ryan, L., Missmer, S. A., Coull, B. A., & Hauser, R. (2013). Analysis of in vitro fertilization data with multiple outcomes using discrete time-to-event analysis. Statistics in Medicine, 12, n/a–n/a. https://doi.org/10.1002/sim.6050

Zhang, H., MAITY, A. R. N. A. B., Arshad, H., Holloway, J., Karmaus, W., Lawson, A. B., … MacNab, Y. (2013). Variable Selection in Semi-parametric Models. Statistical Methods in Medical Research, 25(4), 1736–1752. https://doi.org/10.1177/0962280213499679

Huang, L., Zhang, H. H., Zeng, Z.-B., & Bushel, P. R. (2013). Improved Sparse Multi-Class SVM and Its Application for Gene Selection in Cancer Classification. Cancer Informatics, 12, CIN.S10212. https://doi.org/10.4137/cin.s10212

Boos, D. D., & Stefanski, L. A. (2013). Essential statistical inference: Theory and methods. New York: Springer.

Posner, L. P., Bailey, K. M., Richardson, E. Y., Motsinger-Reif, A. A., & Harms, C. A. (2013). ALFAXALONE ANESTHESIA IN BULLFROGS (LITHOBATES CATESBEIANA) BY INJECTION OR IMMERSION. JOURNAL OF ZOO AND WILDLIFE MEDICINE, 44(4), 965–971. https://doi.org/10.1638/2013-0090r.1

Banks, H. T., Cintron-Arias, A., & Kappel, F. (2013). Parameter selection methods in inverse problem formulation. Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems, 2064, 43–73.

Clark, C. A., Silva, W. L., Arancibia, R. A., Main, J. L., Schultheis, J. R., van-Esbroecle, Z. P., … Smith, J. (2013). Incidence of end rots and internal necrosis in sweetpotato is affected by cultivar, curing, and ethephon defoliation. HortTechnology, 23(6), 886–897.

Cammarano, D., Stefanova, L., Ortiz, B. V., Ramirez-Rodrigues, M., Asseng, S., Misra, V., … DiNapoli, S. (2013). Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US. REGIONAL ENVIRONMENTAL CHANGE, 13, S101–S110. https://doi.org/10.1007/s10113-013-0410-1

Kalaylioglu, Z. I., Bozdemir, B., & Ghosh, S. K. (2013). Bayesian unit-root testing in stochastic volatility models with correlated errors. Hacettepe Journal of Mathematics and Statistics, 42(6), 659–669.

Lu, W., Zhang, H. H., & Zeng, D. (2013). Variable selection for optimal treatment decision. STATISTICAL METHODS IN MEDICAL RESEARCH, 22(5), 493–504. https://doi.org/10.1177/0962280211428383

Wang, H. J., Zhou, J. H., & Li, Y. (2013). Variable selection for censored quantile regresion. Statistica Sinica, 23(1), 145–167.

Jairam, S., Kolar, P., Sharma-Shivappa, R. S., & Osborne, J. A. (2013). Synthesis of solid acid catalyst from tobacco stalk for esterification of oleic acid. Applied Engineering in Agriculture, 29(3), 385–389.

Moore, R. H., Sarwer, D. B., Lavenberg, J. A., Lane, I. B., Evans, J. L., Volger, S., & Wadden, T. A. (2013). Relationship Between Sexual Function and Quality of Life in Obese Persons Seeking Weight Reduction. OBESITY, 21(10), 1966–1974. https://doi.org/10.1002/oby.20398

Fuentes, M., & Reich, B. (2013). Multivariate spatial nonparametric modelling via kernel processes mixing. Statistica Sinica, 23(1), 75–97.

Chang, J., Tang, C. Y., & Wu, Y. (2013). MARGINAL EMPIRICAL LIKELIHOOD AND SURE INDEPENDENCE FEATURE SCREENING. ANNALS OF STATISTICS, 41(4), 2123–2148. https://doi.org/10.1214/13-aos1139

Martin, D. E. K., & Aston, J. A. D. (2013). Distribution of Statistics of Hidden State Sequences Through the Sum-Product Algorithm. METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 15(4), 897–918. https://doi.org/10.1007/s11009-012-9289-4

Classen, J. J., Chandler, W. J., Huie, R. S., & Osborne, J. A. (2013). A centrifuge-based procedure for suspended solids measurements in lagoon sludge. Transactions of the ASABE, 56(2), 747–752.

Smith, H. C., Pollock, K., Waples, K., Bradley, S., & Bejder, L. (2013). Use of the robust design to estimate seasonal abundance and demographic parameters of a coastal bottlenose dolphin (Tursiops aduncus) population. PLoS One, 8(10).

Weber, D. R., Moore, R. H., Leonard, M. B., & Zemel, B. S. (2013). The fat mass index: Why its height exponent should be 3 and not 2 Reply.

Serban, N., Staicu, A.-M., & Carroll, R. J. (2013). Multilevel Cross-Dependent Binary Longitudinal Data. BIOMETRICS, 69(4), 903–913. https://doi.org/10.1111/biom.12083

Guinness, J., & Stein, M. L. (2013). INTERPOLATION OF NONSTATIONARY HIGH FREQUENCY SPATIAL-TEMPORAL TEMPERATURE DATA. ANNALS OF APPLIED STATISTICS, 7(3), 1684–1708. https://doi.org/10.1214/13-aoas633

Baxter, L. K., Dionisio, K. L., Burke, J., Sarnat, S. E., Sarnat, J. A., Hodas, N., … Oezkaynak, H. (2013). Exposure prediction approaches used in air pollution epidemiology studies: Key findings and future recommendations. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 23(6), 654–659. https://doi.org/10.1038/jes.2013.62

Liu, M., Lu, W., Krogh, V., Hallmans, G., Clendenen, T. V., & Zeleniuch-Jacquotte, A. (2013). Estimation and selection of complex covariate effects in pooled nested case-control studies with heterogeneity. BIOSTATISTICS, 14(4), 682–694. https://doi.org/10.1093/biostatistics/kxt015

Daniel, R. M., & Tsiatis, A. A. (2013). Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observed. LIFETIME DATA ANALYSIS, 19(4), 513–546. https://doi.org/10.1007/s10985-013-9261-9

Bai, X., Tsiatis, A. A., & Sean M. O'Brien. (2013). Doubly-Robust Estimators of Treatment-Specific Survival Distributions in Observational Studies with Stratified Sampling. BIOMETRICS, 69(4), 830–839. https://doi.org/10.1111/biom.12076

Zeng, P., & Wu, Y. C. (2013). Coordinate great circle descent algorithm with application to single-index models. Statistics and Its Interface, 6(4), 511–518. https://doi.org/10.4310/sii.2013.v6.n4.a9

Mannshardt, E., Sucic, K., Jiao, W., Dominici, F., Frey, H. C., Reich, B., & Fuentes, M. (2013). Comparing exposure metrics for the effects of fine particulate matter on emergency hospital admissions. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 23(6), 627–636. https://doi.org/10.1038/jes.2013.39

DeBusk, K. M., Hunt, W. F., & Wright, J. D. (2013). CHARACTERIZING RAINWATER HARVESTING PERFORMANCE AND DEMONSTRATING STORMWATER MANAGEMENT BENEFITS IN THE HUMID SOUTHEAST USA. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 49(6), 1398–1411. https://doi.org/10.1111/jawr.12096

Zang, Q., Rotroff, D. M., & Judson, R. S. (2013). Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure-Activity Relationship and Machine Learning Methods. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 53(12), 3244–3261. https://doi.org/10.1021/ci400527b

Vock, D. M., Tsiatis, A. A., Davidian, M., Laber, E. B., Tsuang, W. M., Copeland, C. A. F., & Palmer, S. M. (2013). Assessing the Causal Effect of Organ Transplantation on the Distribution of Residual Lifetime. BIOMETRICS, 69(4), 820–829. https://doi.org/10.1111/biom.12084

Banks, H. T., Kapraun, D. F., Thompson, W. C., Peligero, C., Argilaguet, J., & Meyerhans, A. (2013). A novel statistical analysis and interpretation of flow cytometry data. JOURNAL OF BIOLOGICAL DYNAMICS, 7(1), 96–132. https://doi.org/10.1080/17513758.2013.812753

Nordman, D. J., Bunzel, H., & Lahiri, S. N. (2013). A NONSTANDARD EMPIRICAL LIKELIHOOD FOR TIME SERIES. ANNALS OF STATISTICS, 41(6), 3050–3073. https://doi.org/10.1214/13-aos1174

Davidian, M. (2013, December). The International Year of Statistics: A Celebration and A Call to Action. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 108, pp. 1141–1146. https://doi.org/10.1080/01621459.2013.844019

Reeve, R., Pang, L., Ferguson, B., O'Kelly, M., Berry, S., & Xiao, W. (2013). Rheumatoid Arthritis Disease Progression Modeling. THERAPEUTIC INNOVATION & REGULATORY SCIENCE, 47(6), 641–650. https://doi.org/10.1177/2168479013499571

Toprakci, H. A. K., Kalanadhabhatla, S. K., Spontak, R. J., & Ghosh, T. K. (2013). Polymer Nanocomposites Containing Carbon Nanofibers as Soft Printable Sensors Exhibiting Strain-Reversible Piezoresistivity. ADVANCED FUNCTIONAL MATERIALS, 23(44), 5536–5542. https://doi.org/10.1002/adfm.201300034

McCormick, M. A., Grand, L. F., Post, J. B., & Cubeta, M. A. (2013). Phylogenetic and phenotypic characterization of Fomes fasciatus and Fomes fomentarius in the United States. MYCOLOGIA, 105(6), 1524–1534. https://doi.org/10.3852/12-336

Xun, X., Cao, J., Mallick, B., Maity, A., & Carroll, R. J. (2013). Parameter Estimation of Partial Differential Equation Models. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(503), 1009–1020. https://doi.org/10.1080/01621459.2013.794730

Rotroff, D. M., Thomas, R., Breen, M., & Motsinger-Reif, A. A. (2013, December). Naturally occuring canine cancers: powerful models for stimulating pharmacogenomic advancement in human medicine. PHARMACOGENOMICS, Vol. 14, pp. 1929–1931. https://doi.org/10.2217/pgs.13.178

Chakraborty, B., Laber, E. B., & Zhao, Y. (2013). Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m-Out-of-n Bootstrap Scheme. BIOMETRICS, 69(3), 714–723. https://doi.org/10.1111/biom.12052

Zhao, J., Leng, C., Li, L., & Wang, H. (2013). HIGH-DIMENSIONAL INFLUENCE MEASURE. ANNALS OF STATISTICS, 41(5), 2639–2667. https://doi.org/10.1214/13-aos1165

Wang, H. J., & Li, D. (2013). Estimation of Extreme Conditional Quantiles Through Power Transformation. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(503), 1062–1074. https://doi.org/10.1080/01621459.2013.820134

Reich, B. J., & Porter, M. D. (2013, December). DISCUSSION OF "ESTIMATING THE HISTORICAL AND FUTURE PROBABILITIES OF LARGE TERRORIST EVENTS" BY AARON CLAUSET AND RYAN WOODARD. ANNALS OF APPLIED STATISTICS, Vol. 7, pp. 1871–1875. https://doi.org/10.1214/13-aoas614b

Guo, J., Nordman, D. J., & Wilson, A. (2013). Bayesian nonparametric models for community detection. Technometrics, 55(4), 390–402. https://doi.org/10.1080/00401706.2013.804438

Reich, B. J., & Smith, L. B. (2013). Bayesian Quantile Regression for Censored Data. BIOMETRICS, 69(3), 651–660. https://doi.org/10.1111/biom.12053

Guo, J., & Wilson, A. G. (2013). Bayesian Methods for Estimating System Reliability Using Heterogeneous Multilevel Information. TECHNOMETRICS, 55(4), 461–472. https://doi.org/10.1080/00401706.2013.804441

Kim, Y. M., Lahiri, S. N., & Nordman, D. J. (2013). A Progressive Block Empirical Likelihood Method for Time Series. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(504), 1506–1516. https://doi.org/10.1080/01621459.2013.847374

Reich, B. J., Bandyopadhyay, D., & Bondell, H. D. (2013). A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(503), 820–831. https://doi.org/10.1080/01621459.2013.795487

Kutzner-Mulligan, J., Eisemann, J., Siciliano, P., Smith, J., Hewitt, K., Sharlette, J., & Pratt-Phillips, S. (2013). The effect of different feed delivery methods on time to consume feed and the resulting changes in postprandial metabolite concentrations in horses. JOURNAL OF ANIMAL SCIENCE, 91(8), 3772–3779. https://doi.org/10.2527/jas.2012-5727

Xanthopoulos, M. S., Moore, R. H., Wadden, T. A., Bishop-Gilyard, C. T., Gehrman, C. A., & Berkowitz, R. I. (2013). The Association Between Weight Loss in Caregivers and Adolescents in a Treatment Trial of Adolescents With Obesity. JOURNAL OF PEDIATRIC PSYCHOLOGY, 38(7), 766–774. https://doi.org/10.1093/jpepsy/jst024

Zhou, H., Li, L., & Zhu, H. (2013). Tensor Regression with Applications in Neuroimaging Data Analysis. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(502), 540–552. https://doi.org/10.1080/01621459.2013.776499

Huzurbazar, S., Singh, S., & Schlueter, J. A. (2013). Statistical issues associated with modeling of synonymous mutation data. Statistical Applications in Genetics and Molecular Biology, 12(3), 361–374.

Merriman, L. S., Wilson, C. E., Winston, R. J., & Hunt, W. F. (2013). Sophia title. Journal of Hydrologic Engineering, 18(10), 1372–1376.

Zhou, H., & Lange, K. (2013). Path Algorithm for Constrained Estimation. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 261–283. https://doi.org/10.1080/10618600.2012.681248

Lange, K., Papp, J. C., Sinsheimer, J. S., Sripracha, R., Zhou, H., & Sobel, E. M. (2013). Mendel: the Swiss army knife of genetic analysis programs. BIOINFORMATICS, 29(12), 1568–1570. https://doi.org/10.1093/bioinformatics/btt187

Jiang, L., Wang, H. J., & Bondell, H. D. (2013). Interquantile Shrinkage in Regression Models. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(4), 970–986. https://doi.org/10.1080/10618600.2012.707454

Wu, Y., & Liu, Y. (2013). Functional Robust Support Vector Machines for Sparse and Irregular Longitudinal Data. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 379–395. https://doi.org/10.1080/10618600.2012.680823

Bondell, H. D., & Stefanski, L. A. (2013). Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(502), 644–655. https://doi.org/10.1080/01621459.2013.779847

Guo, L., Tsai, S. Q., Hardison, N. E., James, A. H., Motsinger-Reif, A. A., Thames, B., … Piedrahita, J. A. (2013). Differentially expressed microRNAs and affected biological pathways revealed by modulated modularity clustering (MMC) analysis of human preeclamptic and IUGR placentas. PLACENTA, 34(7), 599–605. https://doi.org/10.1016/j.placenta.2013.04.007

Sharma, D. B., Bondell, H. D., & Zhang, H. H. (2013). Consistent Group Identification and Variable Selection in Regression With Correlated Predictors. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 319–340. https://doi.org/10.1080/15533174.2012.707849

Cardinale, B. J., Gross, K., Fritschie, K., Flombaum, P., Fox, J. W., Rixen, C., … Wilsey, B. J. (2013). Biodiversity simultaneously enhances the production and stability of community biomass, but the effects are independent. ECOLOGY, 94(8), 1697–1707. https://doi.org/10.1890/12-1334.1

Brown, R. A., Birgand, F., & Hunt, W. F. (2013). Analysis of Consecutive Events for Nutrient and Sediment Treatment in Field-Monitored Bioretention Cells. WATER AIR AND SOIL POLLUTION, 224(6). https://doi.org/10.1007/s11270-013-1581-6

Kaddurah-Daouk, R., Zhu, H., Sharma, S., Bogdanov, M., Rozen, S. G., Matson, W., … Arnold, S. E. (2013). Alterations in metabolic pathways and networks in Alzheimer’s disease. Translational Psychiatry, 3(4), e244–e244. https://doi.org/10.1038/TP.2013.18

Wu, Y., & Liu, Y. (2013). Adaptively Weighted Large Margin Classifiers. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 416–432. https://doi.org/10.1080/10618600.2012.680866

Marcus, C. L., Moore, R. H., Rosen, C. L., Giordani, B., Garetz, S. L., Taylor, G., … Sprecher, R. C. (2013). A randomized trial of adenotonsillectomy for childhood sleep apnea. New England Journal of Medicine, 368(25), 2366–2376.

Sarwer, D. B., Moore, R. H., Diewald, L. K., Chittams, J., Berkowitz, R. I., Vetter, M., … Wadden, T. A. (2013). The impact of a primary care-based weight loss intervention on the quality of life. International Journal of Obesity, 37, S25–30.

Chatterjee, A., & Lahiri, S. N. (2013). Rates of convergence of the adaptive LASSO estimators to the Oracle distribution and higher order refinements by the bootstrap. Annals of Statistics, 41(3), 1232–1259. https://doi.org/10.1214/13-aos1106

Stell, F. M., Roe, R. M., Arellano, C., Kennedy, L., Thornton, H., Saavedra-Rodriguez, K., … Apperson, C. S. (2013). Proof of concept for a novel insecticide bioassay based on sugar feeding by adult Aedes aegypti (Stegomyia aegypti). MEDICAL AND VETERINARY ENTOMOLOGY, 27(3), 284–297. https://doi.org/10.1111/j.1365-2915.2012.01048.x

Xu, G., Hughes-Oliver, J. M., Brooks, J. D., & Baynes, R. E. (2013). Predicting skin permeability from complex chemical mixtures: incorporation of an expanded QSAR model. SAR and QSAR in Environmental Research, 24(9), 711–731. https://doi.org/10.1080/1062936X.2013.792875

Shang, S., Liu, M., Zeleniuch-Jacquotte, A., Clendenen, T. V., Krogh, V., Hallmans, G., & Lu, W. (2013). Partially linear single index Cox regression model in nested case-control studies. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 67, 199–212. https://doi.org/10.1016/j.csda.2013.05.011

Thomas, L., Stefanski, L. A., & Davidian, M. (2013). Moment adjusted imputation for multivariate measurement error data with applications to logistic regression. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 67, 15–24. https://doi.org/10.1016/j.csda.2013.04.017

Makowski, M. S., Bryan, I., Sitar, Z., Arellano, C., Xie, J., Collazo, R., & Ivanisevic, A. (2013). Kinase detection with gallium nitride based high electron mobility transistors. Applied Physics Letters, 103(1), 013701. https://doi.org/10.1063/1.4812987

Richards, K. L., Motsinger-Reif, A. A., Chen, H.-W., Fedoriw, Y., Fan, C., Nielsen, D. M., … Suter, S. E. (2013). Gene Profiling of Canine B-Cell Lymphoma Reveals Germinal Center and Postgerminal Center Subtypes with Different Survival Times, Modeling Human DLBCL. CANCER RESEARCH, 73(16), 5029–5039. https://doi.org/10.1158/0008-5472.can-12-3546

Vetter, M. L., Wadden, T. A., Vinnard, C., Moore, R. H., Khan, Z., Volger, S., … Faulconbridge, L. F. (2013). Gender differences in the relationship between symptoms of depression and high-sensitivity CRP. International Journal of Obesity, 37, S38–43.

Seo, D. M., Borodin, O., Balogh, D., O'Connell, M., Ly, Q., Han, S. D., … Henderson, W. A. (2013). Electrolyte solvation and ionic association III. Acetonitrile-lithium salt mixtures-transport properties. Journal of the Electrochemical Society, 160(8), A1061–1070.

Vetter, M. L., Wadden, T. A., Chittams, J., Diewald, L. K., Panigrahi, E., Volger, S., … Moore, R. H. (2013). Effect of lifestyle intervention on cardiometabolic risk factors: Results of the POWER-UP trial. International Journal of Obesity, 37, S19–24.

Reich, B., Cooley, D., Foley, K., Napelenok, S., & Shaby, B. (2013). EXTREME VALUE ANALYSIS FOR EVALUATING OZONE CONTROL STRATEGIES. ANNALS OF APPLIED STATISTICS, 7(2), 739–762. https://doi.org/10.1214/13-aoas628

Dodd, A. H., Briefel, R., Cabili, C., Wilson, A., & Crepinsek, M. K. (2013). Disparities in Consumption of Sugar-Sweetened and Other Beverages by Race/Ethnicity and Obesity Status among United States Schoolchildren. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR, 45(3), 240–249. https://doi.org/10.1016/j.jneb.2012.11.005

White, J. T., & Ghosal, S. (2013). Denoising three-dimensional and colored images using a Bayesian multi-scale model for photon counts. Signal Processing, 93(11), 2906–2914.

Cizek, A. R., & Hunt, W. F. (2013). Defining predevelopment hydrology to mimic predevelopment water quality in stormwater control measures (SCMs). ECOLOGICAL ENGINEERING, 57, 40–45. https://doi.org/10.1016/j.ecoleng.2013.04.016

Volger, S., Wadden, T. A., Sarwer, D. B., Moore, R. H., Chittams, J., Diewald, L. K., … Vetter, M. L. (2013). Changes in eating, physical activity and related behaviors in a primary care-based weight loss intervention. International Journal of Obesity, 37, S12–18.

Boehm, L., Reich, B. J., & Bandyopadhyay, D. (2013). Bridging Conditional and Marginal Inference for Spatially Referenced Binary Data. BIOMETRICS, 69(2), 545–554. https://doi.org/10.1111/biom.12027

Franck, C. T., Nielsen, D. M., & Osborne, J. A. (2013). A method for detecting hidden additivity in two-factor unreplicated experiments. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 67, 95–104. https://doi.org/10.1016/j.csda.2013.05.002

Chen, J., Liu, L., Zhang, D., & Shih, Y.-C. T. (2013). A flexible model for the mean and variance functions, with application to medical cost data. STATISTICS IN MEDICINE, 32(24), 4306–4318. https://doi.org/10.1002/sim.5838

Mayfield, A. E., III, & Brownie, C. (2013). The Redbay Ambrosia Beetle (Coleoptera: Curculionidae: Scolytinae) Uses Stem Silhouette Diameter as a Visual Host-Finding Cue. ENVIRONMENTAL ENTOMOLOGY, 42(4), 743–750. https://doi.org/10.1603/en12341

Zhang, B., Tsiatis, A. A., Laber, E. B., & Davidian, M. (2013). Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions. BIOMETRIKA, 100(3), 681–694. https://doi.org/10.1093/biomet/ast014

Kim, S., Cai, J., & Lu, W. (2013). More efficient estimators for case-cohort studies. BIOMETRIKA, 100(3), 695–708. https://doi.org/10.1093/biomet/ast018

Liu, B., Lu, W., & Zhang, J. (2013). Kernel smoothed profile likelihood estimation in the accelerated failure time frailty model for clustered survival data. BIOMETRIKA, 100(3), 741–755. https://doi.org/10.1093/biomet/ast012

Stell, F. M., Roe, R. M., Arellano, C., & Apperson, C. S. (2013). Innovative Sugar-Insecticide Feeding Bioassay for Adult Female Anopheles gambiae (Diptera: Culicidae). JOURNAL OF MEDICAL ENTOMOLOGY, 50(4), 804–815. https://doi.org/10.1603/me12213

Breidt, F., Jr., Kay, K., Cook, J., Osborne, J., Ingham, B., & Arritt, F. (2013). Determination of 5-Log Reduction Times for Escherichia coli O157:H7, Salmonella enterica, or Listeria monocytogenes in Acidified Foods with pH 3.5 or 3.8. JOURNAL OF FOOD PROTECTION, 76(7), 1245–1249. https://doi.org/10.4315/0362-028x.jfp-12-528

Mueller, H.-G., Wu, Y., & Yao, F. (2013). Continuously additive models for nonlinear functional regression. BIOMETRIKA, 100(3), 607–622. https://doi.org/10.1093/biomet/ast004

Anderson, K. E., Havenstein, G. B., Jenkins, P. K., & Osborne, J. (2013). [Review of Changes in commercial laying stock performance, 1958-2011: thirty-seven flocks of the North Carolina random sample and subsequent layer performance and management tests]. WORLDS POULTRY SCIENCE JOURNAL, 69(3), 489–513. https://doi.org/10.1017/s0043933913000536

Hertz, D. L., Roy, S., Motsinger-Reif, A. A., Drobish, A., Clark, L. S., McLeod, H. L., … Dees, E. C. (2013). CYP2C8*3 increases risk of neuropathy in breast cancer patients treated with paclitaxel. ANNALS OF ONCOLOGY, 24(6), 1472–1478. https://doi.org/10.1093/annonc/mdt018

Huzurbazar, S. V., Wick, A. F., Gasch, C. K., & Stahl, P. D. (2013). Bayesian posterior predictive distributions for assessing soil aggregation in undisturbed semiarid grasslands. Soil Science Society of America Journal, 77(4), 1380–1390.

Ruddle, P., II, Cardinal, A., Upchurch, R. G., Arellano, C., & Miranda, L. (2013). Agronomic Effects of Mutations in Two Soybean Delta 9-Stearoyl-Acyl Carrier Protein-Desaturases. CROP SCIENCE, 53(5), 1887–1893. https://doi.org/10.2135/cropsci2013.02.0120

Shen, W. N., Tokdar, S. T., & Ghosal, S. (2013). Adaptive Bayesian multivariate density estimation with Dirichlet mixtures. Biometrika, 100(3), 623–640.

Brill, N. L., Osborne, J., & Abney, M. R. (2013). A Spatial Ecology Study on the Effects of Field Conditions and Crop Rotation on the Incidence of Plectris aliena (Coleoptera: Scarabaeidae) Grub Damage to Sweetpotato Roots. ENVIRONMENTAL ENTOMOLOGY, 42(5), 1046–1051. https://doi.org/10.1603/en13123

Banks, H. T., Catenacci, J., & Hu, S. (2013). A Comparison of Stochastic Systems with Different Types of Delays. STOCHASTIC ANALYSIS AND APPLICATIONS, 31(6), 913–955. https://doi.org/10.1080/07362994.2013.806217

Huntsinger, L. F., Rouphail, N. M., & Bloomfield, P. (2013). Trip Generation Models Using Cumulative Logistic Regression. JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 139(3), 176–184. https://doi.org/10.1061/(asce)up.1943-5444.0000151

Dai, H. Y., Charnigo, R. J., Becker, M. L., Leeder, J. S., & Motsinger-Reif, A. A. (2013). Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction. Biodata Mining, 6.

Moore, T. L. C., & Hunt, W. F. (2013). Predicting the carbon footprint of urban stormwater infrastructure. ECOLOGICAL ENGINEERING, 58, 44–51. https://doi.org/10.1016/j.ecoleng.2013.06.021

Motsinger-Reif, A. A., Jorgenson, E., Relling, M. V., Kroetz, D. L., Weinshilboum, R., Cox, N. J., & Roden, D. M. (2013). Genome-wide association studies in pharmacogenomics: Successes and lessons. Pharmacogenetics and Genomics, 23(8), 383–394.

Lee, S. H., Ripke, S., Neale, B. M., Faraone, S. V., Purcell, S. M., Perlis, R. H., … Anttila, V. (2013). Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics, 45(9), 984-.

Friedl, S. E., Buckel, J. A., Hightower, J. E., Scharf, F. S., & Pollock, K. H. (2013). Telemetry-Based Mortality Estimates of Juvenile Spot in Two North Carolina Estuarine Creeks. TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY, 142(2), 399–415. https://doi.org/10.1080/00028487.2012.730108

Emerine, S. E., Richardson, R. J., & Arellano, C. (2013). Porcelain Berry (Ampelopsis brevipedunculata), Bushkiller (Cayratia japonica), and Virginia-Creeper,(Parthenocissus quinquefolia) in Interspecific Competition. INVASIVE PLANT SCIENCE AND MANAGEMENT, 6(1), 99–104. https://doi.org/10.1614/ipsm-d-12-00008.1

Makowski, M. S., Kim, S., Gaillard, M., Janes, D., Manfra, M. J., Bryan, I., … Ivanisevic, A. (2013). Physisorption of functionalized gold nanoparticles on AlGaN/GaN high electron mobility transistors for sensing applications. Applied Physics Letters, 102(7), 074102. https://doi.org/10.1063/1.4791788

Yan, T., Pietrafesa, L. J., Bell, G. D., & Dickey, D. A. (2013). On the inverse relationship between North American snow extent and North Atlantic hurricane activity. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 33(4), 992–1000. https://doi.org/10.1002/joc.3485

Banks, H. T., Hu, S. H., Kenz, Z. R., Kruse, C., Shaw, S., Whiteman, J. R., … Birch, M. J. (2013). Material parameter estimation and hypothesis testing on a 1D viscoelastic stenosis model: Methodology. Journal of Inverse and Ill-Posed Problems, 21(1), 25–57.

Chi, E. C., Zhou, H., Chen, G. K., Del Vecchyo, D. O., & Lange, K. (2013). Genotype imputation via matrix completion. GENOME RESEARCH, 23(3), 509–518. https://doi.org/10.1101/gr.145821.112

Su, Y. H., Nielsen, D., Zhu, L., Richards, K., Suter, S., Breen, M., … Osborne, J. (2013). Gene selection and cancer type classification of diffuse large-B-cell lymphoma using a bivariate mixture model for two-species data. Human Genomics, 7.

Storlie, C. B., Reich, B. J., Helton, J. C., Swiler, L. P., & Sallaberry, C. J. (2013). Analysis of computationally demanding models with continuous and categorical inputs. RELIABILITY ENGINEERING & SYSTEM SAFETY, 113, 30–41. https://doi.org/10.1016/j.ress.2012.11.018

Chang, H. H., Reich, B. J., & Miranda, M. L. (2013). A spatial time-to-event approach for estimating associations between air pollution and preterm birth. Journal of the Royal Statistical Society. Series C, Applied Statistics, 62, 167–179.

Hightower, J., & Pollock, K. (2013). Tagging methods for estimating population size and mortality rates of inland striped bass populations. American Fisheries Society symposium, 80, 249–262.

Chow, S. C., Yang, L. Y., Starr, A., & Chiu, S. T. (2013). Statistical methods for assessing interchangeability of biosimilars. Statistics in Medicine, 32(3), 442–448.

Sui, X. M., Zhang, J. J., Lee, D. C., Church, T. S., Lu, W. B., Liu, J. X., & Blair, S. N. (2013). Physical activity/fitness peaks during perimenopause and BMI change patterns are not associated with baseline activity/fitness in women: a longitudinal study with a median 7-year follow-up. British Journal of Sports Medicine, 47(2), 77–82. https://doi.org/10.1136/bjsports-2011-090888

Fan, J., Maity, A., Wang, Y., & Wu, Y. (2013). Parametrically guided generalised additive models with application to mergers and acquisitions data. JOURNAL OF NONPARAMETRIC STATISTICS, 25(1), 109–128. https://doi.org/10.1080/10485252.2012.735233

Berke, P., Spurlock, D., Hess, G., & Band, L. (2013). Local comprehensive plan quality and regional ecosystem protection: The case of the Jordan Lake watershed, North Carolina, USA. LAND USE POLICY, 31, 450–459. https://doi.org/10.1016/j.landusepol.2012.08.009

Wu, M. C., Maity, A., Lee, S., Simmons, E. M., Harmon, Q. E., Lin, X., … Armistead, P. M. (2013). Kernel Machine SNP-Set Testing Under Multiple Candidate Kernels. GENETIC EPIDEMIOLOGY, 37(3), 267–275. https://doi.org/10.1002/gepi.21715

Robbins, M. W., Ghosh, S. K., & Habiger, J. D. (2013). Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(501), 81–95. https://doi.org/10.1080/01621459.2012.734158

Calver, M. C., Adams, G., Clark, W., & Pollock, K. H. (2013). Assessing the safety of collars used to attach predation deterrent devices and ID tags to pet cats. ANIMAL WELFARE, 22(1), 95–105. https://doi.org/10.7120/09627286.22.1.095

Das, L., Kolar, P., Classen, J. J., & Osborne, J. A. (2013). Adsorbents from pine wood via K2CO3-assisted low temperature carbonization for adsorption of p-cresol. INDUSTRIAL CROPS AND PRODUCTS, 45, 215–222. https://doi.org/10.1016/j.indcrop.2012.12.010

Kim, J. P., Lu, W., Sit, T., & Ying, Z. (2013). A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(501), 217–227. https://doi.org/10.1080/01621459.2012.746073

Bouchard, N. R., Osmond, D. L., Winston, R. J., & Hunt, W. F. (2013). The capacity of roadside vegetated filter strips and swales to sequester carbon. ECOLOGICAL ENGINEERING, 54, 227–232. https://doi.org/10.1016/j.ecoleng.2013.01.018

Mannshardt, E., Craigmile, P. F., & Tingley, M. P. (2013). Statistical modeling of extreme value behavior in North American tree-ring density series. CLIMATIC CHANGE, 117(4), 843–858. https://doi.org/10.1007/s10584-012-0575-5

Jeng, X. J., Cai, T. T., & Li, H. (2013). Simultaneous discovery of rare and common segment variants. BIOMETRIKA, 100(1), 157–172. https://doi.org/10.1093/biomet/ass059

Knight, E. M. P., Hunt, W. F., III, & Winston, R. J. (2013). Side-by-side evaluation of four level spreader-vegetated filter strips and a swale in eastern North Carolina. JOURNAL OF SOIL AND WATER CONSERVATION, 68(1), 60–72. https://doi.org/10.2489/jswc.68.1.60

Xu, G., Hughes-Oliver, J. M., Brooks, J. D., Yeatts, J. L., & Baynes, R. E. (2013). Selection of appropriate training and validation set chemicals for modelling dermal permeability by U-optimal design. SAR and QSAR in Environmental Research, 24(2), 135–156. https://doi.org/10.1080/1062936X.2012.742458

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