Statistics - 2014

Mollinari, M., Garcia, A. A. F., Craig, B., & Doerge, R. W. (2014). A new method to construct genetic maps in complex autopolyploids using quantitative SNP genotyping. Kansas State Conference on Applied Statistics in Agriculture. Poster presented at the Kansas State Conference on Applied Statistics in Agriculture, Manhattan, KS, USA.

Schliep, E. M., Dong, T. Q., Gelfand, A. E., & Li, F. (2014). Modeling individual tree growth by fusing diameter tape and increment core data. Environmetrics, 25(8), 610–620. https://doi.org/10.1002/env.2324

White, J. T., & Ghosal, S. (2014). Multiple Testing Approaches for Removing Background Noise from Images. In Springer Proceedings in Mathematics & Statistics (pp. 95–104). https://doi.org/10.1007/978-1-4939-0569-0_10

Banerjee, S., & Ghosal, S. (2014). Bayesian variable selection in generalized additive partial linear models. Stat, 3(1), 363–378. https://doi.org/10.1002/STA4.70

Baird, J., Hunt, III, W., & Winston, R. (2014). Evaluating the Hydrologic and Water Quality Performance of Infiltrating Wet Retention Ponds. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.017

Martin, R. (2014). Random Sets and Exact Confidence Regions. Sankhya A, 76(2), 288–304. https://doi.org/10.1007/S13171-013-0046-8

Geng, Y., Lu, W., & Zhang, H. H. (2014). A model-free machine learning method for risk classification and survival probability prediction. Stat, 3(1), 337–350. https://doi.org/10.1002/STA4.67

Ghosh, S. (2014). Opportunities at SAMSI. Presented at the Modern Math Workshop at SACNAS, Los Angeles, CA.

Ghosh, S. (2014, October). A Semiparametric Approach to Source Separation using Independent Component Analysis. Presented at the Department of Statistics, University of Georgia, Athens, GA.

Zhu, Y., Goodwin, B. K., & Ghosh, S. K. (2014). Modeling Dependence in the Design of Crop Insurance Contracts: Crop Insurance and Modeling Dependence. Saarbrücken, Germany: Scholars Press.

Ghosh, S. (2014). Nonparametric Models for Longitudinal Data Subject to Shape Constraints. Presented at the Department of Statistics, Texas A& M University, College Station, Texas.

Ghosh, S. (2014, April). A Semiparametric Approach to Source Separation using Independent Component Analysis. Presented at the Department of Mathematics, University of Maryland, College Park, MD.

Ghosh, S. (2014). Semi-parametric Hierarchical Models for Longitudinal Data Subject to Shape Constraints, Conference On Frontiers of Hierarchical Modeling in Observational Studies, Complex Surveys and Big Data. Presented at the University of Maryland, College Park, MD.

Ghosh, S. (2014). A Computationally Ecient Flexible Observed Factor Model with Separate Dynamics for the Factor Volatilities and Correlation Matrix. Presented at the International Symposium on Business and Industrial Statistics: Conference of the ASA Section on Statistical Learning and Data Mining, Durham, NC.

Ghosh, S. (2014). Bayesian methods in global clinical trials: an era of synthesizing evidence. Presented at the Joint Statistical Meetings, Boston, MA.

LePrevost, C. E., Storm, J. F., Asuaje, C. R., Arellano, C., & Cope, W. G. (2014). Assessing the Effectiveness of the Pesticides and Farmworker Health Toolkit: A Curriculum for Enhancing Farmworkers’ Understanding of Pesticide Safety Concepts. Journal of Agromedicine, 19(2), 222–223. https://doi.org/10.1080/1059924X.2014.890991

Ceyhan, E. (2014). Simulation and characterization of multi-class spatial patterns from stochastic point processes of randomness, clustering and regularity. Stochastic Environmental Research and Risk Assessment, 28(5), 1277–1306. https://doi.org/10.1007/S00477-013-0824-9

Ceyhan, E. (2014). Segregation indices for disease clustering. Statistics in Medicine, 33(10), 1662–1684. https://doi.org/10.1002/SIM.6053

Ceyhan, E. (2014). Comparison of relative density of two random geometric digraph families in testing spatial clustering. TEST, 23(1), 100–134. https://doi.org/10.1007/S11749-013-0344-4

Lahiri, S., Schick, A., SenGupta, A., & Sriram, T. N. (2014). Professor Hira Lal Koul’s Contribution to Statistics. In S. Lahiri, A. Schick, A. SenGupta, & T. Sriram (Eds.), Contemporary Developments in Statistical Theory (pp. 1–7). https://doi.org/10.1007/978-3-319-02651-0_1

Lahiri, S., & Xie, M.-ge. (2014). Preface to the Professor Kesar Singh Memorial Issue. Statistical Methodology, 20, 1. https://doi.org/10.1016/J.STAMET.2014.04.002

Song, R., Kosorok, M. R., & Fine, J. P. (2014). Comment on ”Multiscale change point inference” by Frick, Munk and Sieling [Review of Multiscale change point inference, by K. Frick, A. Munk, & H. Sieling]. Journal of the Royal Statistical Society, Series B, 76(3), 564.

Kim, J. K., & Yang, S. (2014). Fractional hot deck imputation for robust inference under item nonresponse in survey sampling. Survey Methodology, 40(2), 211–230. Retrieved from https://lib.dr.iastate.edu/stat_las_pubs/116/

Suzuki, M., Takayanagi, M., Wentz, J., Takayanagi, Y., Schretlen, D., Ceyhan, E., … Cascella, N. (2014). Poster #T228 REDUCED ANTERIOR CINGULATE GRAY MATTER VOLUME AND THICKNESS IN SUBJECTS WITH DEFICIT SCHIZOPHRENIA. Schizophrenia Research, 153, S370. https://doi.org/10.1016/S0920-9964(14)71044-8

Erdem, O., Ceyhan, E., & Varli, Y. (2014). A new correlation coefficient for bivariate time-series data. Physica A: Statistical Mechanics and Its Applications, 414, 274–284. https://doi.org/10.1016/J.PHYSA.2014.07.054

Lange, L. A., Hu, Y., Zhang, H., Xue, C., Schmidt, E. M., Tang, Z.-Z., … Sturcke, A. (2014). Whole-Exome Sequencing Identifies Rare and Low-Frequency Coding Variants Associated with LDL Cholesterol. The American Journal of Human Genetics, 94(2), 233–245. https://doi.org/10.1016/J.AJHG.2014.01.010

Guinness, J., Fuentes, M., Hesterberg, D., & Polizzotto, M. (2014). Multivariate spatial modeling of conditional dependence in microscale soil elemental composition data. Spatial Statistics, 9, 93–108. https://doi.org/10.1016/J.SPASTA.2014.03.009

Gulledge, B. M., Marcellin-Little, D. J., Levine, D., Tillman, L., Harrysson, O. L. A., Osborne, J. A., & Baxter, B. (2014). Comparison of two stretching methods and optimization of stretching protocol for the piriformis muscle. Medical Engineering & Physics, 36(2), 212–218. https://doi.org/10.1016/J.MEDENGPHY.2013.10.016

Rohrbaugh, N., Bryan, I., Bryan, Z., Arellano, C., Collazo, R., & Ivanisevic, A. (2014). AlGaN/GaN field effect transistors functionalized with recognition peptides. Applied Physics Letters, 105(13), 134103. https://doi.org/10.1063/1.4896962

Anderson, A. R., Smolek, A. P., & Hunt, W. F. (2014). Permeable Pavement and Filterra Performance at an Amtrak Station in North Carolina, USA. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.018

Carmen, N. B., Hunt, W. F., & Anderson, A. R. (2014). Evaluating the Performance of Disconnected Downspouts on Existing and Amended Lawns as a Stormwater Control Measure. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.015

Winston, R. J., Lauffer, M. S., Narayanaswamy, K., McDaniel, A. H., Lipscomb, B. S., Nice, A. J., & Hunt, W. F. (2014). Comparing Stormwater Control Measure Effluent Quality with Road Runoff Management in Mind. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.014

Smolek, A. P., Hunt, W. F., & Winston, R. J. (2014). Modeling Hydrologic Performance of Permeable Pavement with DRAINMOD in North Carolina and Ohio. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.003

Weaver, D. M., Kwak, T. J., & Pollock, K. H. (2014). Sampling Characteristics and Calibration of Snorkel Counts to Estimate Stream Fish Populations. North American Journal of Fisheries Management, 34(6), 1159–1166. https://doi.org/10.1080/02755947.2014.951808

Mollinari, M., & Serang, O. (2014). Quantitative SNP Genotyping of Polyploids with MassARRAY and Other Platforms. In Methods in Molecular Biology (pp. 215–241). https://doi.org/10.1007/978-1-4939-1966-6_17

Shortreed, S. M., Laber, E., Scott Stroup, T., Pineau, J., & Murphy, S. A. (2014). A multiple imputation strategy for sequential multiple assignment randomized trials. Statistics in Medicine, 33(24), 4202–4214. https://doi.org/10.1002/SIM.6223

Gazaffi, R., Margarido, G. R. A., Pastina, M. M., Mollinari, M., & Garcia, A. A. F. (2014). A model for quantitative trait loci mapping, linkage phase, and segregation pattern estimation for a full-sib progeny. Tree Genetics & Genomes, 10(4), 791–801. https://doi.org/10.1007/s11295-013-0664-2

Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., … Boomsma, D. I. (2014). Heritability and genomics of gene expression in peripheral blood. Nature Genetics, 46(5), 430–437. https://doi.org/10.1038/NG.2951

Tsiatis, A. A., & Davidian, M. (2014). Missing data methods: A semiparametric perspective. In G. Fitzmaurice, M. Kenward, G. Molenberghs, A. A. Tsiatis, & G. Verbeke (Eds.), Handbook of Missing Data. Boca Raton: Chapman & Hall/CRC Press.

Vock, D. M., Davidian, M., & Tsiatis, A. A. (2014). SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models. Journal of Statistical Software, 56(Code Snippet 2). https://doi.org/10.18637/jss.v056.c02

Ren, Z., Davidian, M., George, S. L., Goldberg, R. M., Wright, F. A., Tsiatis, A. A., & Kosorok, M. R. (2014). Research Methods for Clinical Trials in Personalized Medicine: A Systematic Review. In Lost in Translation (pp. 659–684). https://doi.org/10.1142/9789814489072_0025

Zhao, Y. Q., Zeng, D., Laber, E. B., Song, R., Yuan, M., & Kosorok, M. R. (2014). Doubly robust learning for estimating individualized treatment with censored data. Biometrika, 102(1), 151–168. https://doi.org/10.1093/biomet/asu050

Xiao, L., Thurston, S. W., Ruppert, D., Love, T. M. T., & Davidson, P. W. (2014). Bayesian Models for Multiple Outcomes in Domains With Application to the Seychelles Child Development Study. Journal of the American Statistical Association, 109(505), 1–10. https://doi.org/10.1080/01621459.2013.830070

Xiao, L., Zipunnikov, V., Ruppert, D., & Crainiceanu, C. (2014). 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

Xiao, L., Huang, L., Schrack, J. A., Ferrucci, L., Zipunnikov, V., & Crainiceanu, C. M. (2014). Quantifying the lifetime circadian rhythm of physical activity: a covariate-dependent functional approach. Biostatistics, 16(2), 352–367. https://doi.org/10.1093/biostatistics/kxu045

Ma, X., Xiao, L., & Wong, W. H. (2014). Learning regulatory programs by threshold SVD regression. Proceedings of the National Academy of Sciences, 111(44), 15675–15680. https://doi.org/10.1073/pnas.1417808111

Yang, S., & Zhu, Z. (2014). Variance estimation and kriging prediction for a class of non-stationary spatial models. Statistica Sinica. https://doi.org/10.5705/ss.2013.205w

Berry, J. W., Fostvedt, L. K., Nordman, D. J., Phillips, C. A., Seshadhri, C., & Wilson, A. G. (2014). Why do simple algorithms for triangle enumeration work in the real world? ITCS 2014 - Proceedings of the 2014 Conference on Innovations in Theoretical Computer Science, 225–234. https://doi.org/10.1145/2554797.2554819

Casleton, E., Beyler, A., Genschel, U., & Wilson, A. (2014). A Pilot Study Teaching Metrology in an Introductory Statistics Course. Journal of Statistics Education, 22(3). https://doi.org/10.1080/10691898.2014.11889710

Chi, E. C., & Lange, K. (2014). Stable estimation of a covariance matrix guided by nuclear norm penalties. Computational Statistics & Data Analysis, 80(0), 117–128. https://doi.org/10.1016/j.csda.2014.06.018

Chi, E. C., & Scott, D. W. (2014). Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion. Journal of Computational and Graphical Statistics, 23(1), 111–128. https://doi.org/10.1080/10618600.2012.737296

Chi, E. C., & Lange, K. (2014). A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization. The American Mathematical Monthly, 121(2), pp. 95–108. https://doi.org/10.4169/amer.math.monthly.121.02.095

Zhou, Y.-H., & Dang, H. (2014). RNA-Seq pathway analysis.

Physiologically based pharmacokinetic (PBPK) modeling of interstrain variability in trichloroethylene metabolism in the mouse. (2014). Environmental Health Perspectives, 122(5), 456.

Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., … others. (2014). Heritability and genomics of gene expression in peripheral blood. Nature Genetics, 46(5), 430.

Sanders, A., Smeester, L., Rojas, D., DeBussycher, T., Wu, M., Wright, F., … others. (2014). Cadmium exposure and the epigenome: Exposure-associated patterns of DNA methylation in leukocytes from mother-baby pairs. Epigenetics, 9(2), 212–221.

Wang, Z., Maity, A., Luo, Y., Neely, M. L., & Tzeng, J.-Y. (2014). Complete Effect-Profile Assessment in Association Studies With Multiple Genetic and Multiple Environmental Factors. Genet. Epidemiol., 39(2), 122–133. https://doi.org/10.1002/gepi.21877

Davidian, M. (2014). Publishing without perishing and other career advice. Past, Present, and Future of Statistical Science, 581–591.

Hobolth, A., & Thorne, J. L. (2014). Sampling and summary statistics of endpoint-conditioned paths in DNA sequence evolution. Bayesian Phylogenetics: Methods, Algorithms, and Applications, 247–275.

Akritas, M. G., Lahiri, S. N., Dimitris N., & Politis, D. N. (Eds.). (2014). Topics in nonparametric statistics: Proceedings of the first Conference of the International Society for Nonparametric Statistics. Berlin: Springer.

Davidian, M., Lin, X., Morris, J. S., & Stefanski, L. A. (Eds.). (2014). The Work of Raymond J. Carroll. https://doi.org/10.1007/978-3-319-05801-6

Contemporary developments in statistical theory: A festschrift for Hira Lal Koul. (2014). Cham: Springer.

Roe, S. C., Sherman, B. L., Gruen, M. E., Hamilton, A., & Griffith, E. (2014). Use of trazodone to facilitate postsurgical confinement in dogs Response.

Carmona, J. J., Sofer, T., Hutchinson, J., Cantone, L., Coull, B., Maity, A., … al. (2014). Short-Term airborne particulate matter exposure alters the epigenetic landscape of human genes associated with the mitogen-Activated protein kinase network: A cross-sectional study. Environmental Health: A Global Access Science Source, 13(1), 94. https://doi.org/10.1186/1476-069X-13-94

Banerjee, S., & Ghosal, S. (2014). Posterior convergence rates for estimating large precision matrices using graphical models. Electronic Journal of Statistics, 8, 2111–2137.

Kyung, M., & Ghosh, S. K. (2014). Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data. JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 43(3), 339–353. https://doi.org/10.1016/j.jkss.2013.10.005

Wilson, A., Rappold, A. G., Neas, L. M., & Reich, B. J. (2014). MODELING THE EFFECT OF TEMPERATURE ON OZONE-RELATED MORTALITY. ANNALS OF APPLIED STATISTICS, 8(3), 1728–1749. https://doi.org/10.1214/14-aoas754

Staicu, A.-M., & Lu, X. (2014). Analysis of AneuRisk65 data: Classification and curve registration. ELECTRONIC JOURNAL OF STATISTICS, 8, 1914–1919. https://doi.org/10.1214/14-ejs938c

Baraldi, R., Cross, K., McChesney, C., Poag, L., Thorpe, E., Flores, K. B., & Banks, H. T. (2014). Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions. 2014 american control conference (acc), 2753–2758.

Lu, W., Liu, M., & Chen, Y.-H. (2014). Testing Goodness-of-Fit for the Proportional Hazards Model based on Nested Case-Control Data. BIOMETRICS, 70(4), 845–851. https://doi.org/10.1111/biom.12239

Filer, D., Patisaul, H. B., Schug, T., Reif, D., & Thayer, K. (2014). Test driving ToxCast: endocrine profiling for 1858 chemicals included in phase II. CURRENT OPINION IN PHARMACOLOGY, 19, 145–152. https://doi.org/10.1016/j.coph.2014.09.021

Lim, J. H., Muguet-Chanoit, A. C., Smith, D. T., Laber, E., & Olby, N. J. (2014). Potassium channel antagonists 4-aminopyridine and the t-butyl carbamate derivative of 4-aminopyridine improve hind limb function in chronically non-ambulatory dogs; a blinded, placebo-controlled trial. PLoS One, 9(12).

Rotroff, D., Jack, J., Campbell, N., Clark, S., & Motsinger-Reif, A. A. (2014). PGxClean: a quality control GUI for the Affymetrix DMET chip and other candidate gene studies with non-biallelic alleles. Biodata Mining, 7.

Huque, M. H., Bondell, H. D., & Ryan, L. (2014). On the impact of covariate measurement error on spatial regression modelling. ENVIRONMETRICS, 25(8), 560–570. https://doi.org/10.1002/env.2305

Reese, C. S., & Wilson, A. G. (2014). Discussion of 'Methods for planning repeated measures accelerated degradation tests'. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 30(6), 674–676. https://doi.org/10.1002/asmb.2090

Banks, H. T., Catenacci, J., Hu, S. H., & Kenz, Z. R. (2014). Decomposition of permittivity contributions from reflectance using mechanism models. 2014 american control conference (acc), 367–372.

Wilson, A., & Reich, B. J. (2014). Confounder Selection via Penalized Credible Regions. BIOMETRICS, 70(4), 852–861. https://doi.org/10.1111/biom.12203

Hathaway, J. M., Brown, R. A., Fu, J. S., & Hunt, W. F. (2014). Bioretention function under climate change scenarios in North Carolina, USA. JOURNAL OF HYDROLOGY, 519, 503–511. https://doi.org/10.1016/j.jhydrol.2014.07.037

Beam, A. L., Motsinger-Reif, A., & Doyle, J. (2014). Bayesian neural networks for detecting epistasis in genetic association studies. BMC Bioinformatics, 15.

Bailey, K. M., Minter, L. J., Lewbart, G. A., Harms, C. A., Griffith, E. H., & Posner, L. P. (2014). ALFAXALONE AS AN INTRAMUSCULAR INJECTABLE ANESTHETIC IN KOI CARP (CYPRINUS CARPIO). JOURNAL OF ZOO AND WILDLIFE MEDICINE, 45(4), 852–858. https://doi.org/10.1638/2014-0056.1

Reich, B., & Gardner, B. (2014). A spatial capture-recapture model for territorial species. Environmetrics, 25(8), 630–637. https://doi.org/10.1002/env.2317

Reich, B. J., Chang, H. H., & Foley, K. M. (2014). A Spectral Method for Spatial Downscaling. BIOMETRICS, 70(4), 932–942. https://doi.org/10.1111/biom.12196

Gruen, M. E., Roe, S. C., Griffith, E., Hamilton, A., & Sherman, B. L. (2014). Use of trazodone to facilitate postsurgical confinement in dogs. JAVMA-JOURNAL OF THE AMERICAN VETERINARY MEDICAL ASSOCIATION, 245(3), 296–301. https://doi.org/10.2460/javma.245.3.296

Schulte, P. J., Tsiatis, A. A., Laber, E. B., & Davidian, M. (2014). Q- and A-Learning Methods for Estimating Optimal Dynamic Treatment Regimes. STATISTICAL SCIENCE, 29(4), 640–661. https://doi.org/10.1214/13-sts450

Oda, A., Bailey, K. M., Lewbart, G. A., Griffith, E. H., & Posner, L. P. (2014). Physiologic and biochemical assessments of koi (Cyprinus carpio) following immersion in propofol. JAVMA-JOURNAL OF THE AMERICAN VETERINARY MEDICAL ASSOCIATION, 245(11), 1286–1291. https://doi.org/10.2460/javma.245.11.1286

Laber, E. B., Linn, K. A., & Stefanski, L. A. (2014). Interactive model building for Q-learning. BIOMETRIKA, 101(4), 831–847. https://doi.org/10.1093/biomet/asu043

Just, M. G., Norton, J. F., Traud, A. L., Antonelli, T., Poteate, A. S., Backus, G. A., … Dunn, R. R. (2014). Global biogeographic regions in a human-dominated world: the case of human diseases. ECOSPHERE, 5(11). https://doi.org/10.1890/es14-00201.1

Bucknoff, M. C., Hanel, R. M., Marks, S. L., Motsinger-Reif, A. A., & Suter, S. E. (2014). Evaluation of thromboelastography for prediction of clinical bleeding in thrombocytopenic dogs after total body irradiation and hematopoietic cell transplantation. AMERICAN JOURNAL OF VETERINARY RESEARCH, 75(5), 425–432. https://doi.org/10.2460/ajvr.75.5.425

Song, R., Lu, W., Ma, S., & Jeng, X. (J. (2014). Censored rank independence screening for high-dimensional survival data. Biometrika, 101(4), 799–814. https://doi.org/10.1093/biomet/asu047

Joseph, S. V., Stallings, J. W., Leskey, T. C., Krawczyk, G., Polk, D., Butler, B., & Bergh, J. C. (2014). Spatial Distribution of Brown Marmorated Stink Bug (Hemiptera: Pentatomidae) Injury at Harvest in Mid-Atlantic Apple Orchards. JOURNAL OF ECONOMIC ENTOMOLOGY, 107(5), 1839–1848. https://doi.org/10.1603/ec14154

Jack, J. R., Motsinger-Reif, A. A., Koutros, S., Alavanja, M. C., Freeman, L. E. B., & Hoppin, J. A. (2014). Single-Nucleotide Polymorphism Data Support the General Unrelatedness of the Males in the Agricultural Health Study. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 23(10), 2192–2195. https://doi.org/10.1158/1055-9965.epi-14-0276

Tomas, A., Marcellin-Little, D. J., Roe, S. C., Motsinger-Reif, A., & Lascelles, B. D. X. (2014). Relationship Between Mechanical Thresholds and Limb Use in Dogs With Coxofemoral Joint OA-Associated Pain and the Modulating Effects of Pain Alleviation From Total Hip Replacement on Mechanical Thresholds. VETERINARY SURGERY, 43(5), 542–548. https://doi.org/10.1111/j.1532-950x.2014.12160.x

Ginn, J., Sacco, J., Wong, Y. Y., Motsinger-Reif, A., Chun, R., & Trepanier, L. A. (2014). Positive association between a glutathione-S-transferase polymorphism and lymphoma in dogs. VETERINARY AND COMPARATIVE ONCOLOGY, 12(3), 227–236. https://doi.org/10.1111/vco.12000

Arnold, A., Calvetti, D., & Somersalo, E. (2014). Parameter estimation for stiff deterministic dynamical systems via ensemble Kalman filter. Inverse Problems, 30(10).

Stevenson, K. T., Peterson, M. N., Bondell, H. D., Moore, S. E., & Carrier, S. J. (2014). Overcoming skepticism with education: interacting influences of worldview and climate change knowledge on perceived climate change risk among adolescents. CLIMATIC CHANGE, 126(3-4), 293–304. https://doi.org/10.1007/s10584-014-1228-7

Song, R., Yi, F., & Zou, H. (2014). On varying-coefficient independence screening for high-dimensional varying-coefficient models. Statistica Sinica, 24(4), 1735–1752.

Stingone, J. A., Luben, T. J., Daniels, J. L., Fuentes, M., Richardson, D. B., Aylsworth, A. S., … Olshan, A. F. (2014). Maternal Exposure to Criteria Air Pollutants and Congenital Heart Defects in Offspring: Results from the National Birth Defects Prevention Study. ENVIRONMENTAL HEALTH PERSPECTIVES, 122(8), 863–872. https://doi.org/10.1289/ehp.1307289

Chakraborty, B., Laber, E. B., & Zhao, Y.-Q. (2014, August). Inference about the expected performance of a data-driven dynamic treatment regime. CLINICAL TRIALS, Vol. 11, pp. 408–417. https://doi.org/10.1177/1740774514537727

Katz, E. S., Moore, R. H., Rosen, C. L., Mitchell, R. B., Amin, R., Arens, R., … Redline, S. (2014). Growth After Adenotonsillectomy for Obstructive Sleep Apnea: An RCT. PEDIATRICS, 134(2), 282–289. https://doi.org/10.1542/peds.2014-0591

Thomas, R., Borst, L., Rotroff, D., Motsinger-Reif, A., Lindblad-Toh, K., Modiano, J. F., & Breen, M. (2014). Genomic profiling reveals extensive heterogeneity in somatic DNA copy number aberrations of canine hemangiosarcoma. CHROMOSOME RESEARCH, 22(3), 305–319. https://doi.org/10.1007/s10577-014-9406-z

Tzeng, J.-Y., Lu, W., & Hsu, F.-C. (2014). GENE-LEVEL PHARMACOGENETIC ANALYSIS ON SURVIVAL OUTCOMES USING GENE-TRAIT SIMILARITY REGRESSION. ANNALS OF APPLIED STATISTICS, 8(2), 1232–1255. https://doi.org/10.1214/14-aoas735

Zhao, Y.-Q., & Laber, E. B. (2014, August). Estimation of optimal dynamic treatment regimes. CLINICAL TRIALS, Vol. 11, pp. 400–407. https://doi.org/10.1177/1740774514532570

Chi, E. C., Zhou, H., & Lange, K. (2014). Distance majorization and its applications. MATHEMATICAL PROGRAMMING, 146(1-2), 409–436. https://doi.org/10.1007/s10107-013-0697-1

Banks, H. T., Rehm, K. L., Sutton, K. L., Davis, C., Hail, L., Kuerbis, A., & Morgenstern, J. (2014). DYNAMIC MODELING OF BEHAVIOR CHANGE. QUARTERLY OF APPLIED MATHEMATICS, 72(2), 209–251. https://doi.org/10.1090/s0033-569x-2014-01296-3

Hendrix, A. O., & Selgrade, J. F. (2014). Bifurcation analysis of a menstrual cycle model reveals multiple mechanisms linking testosterone and classical PCOS. JOURNAL OF THEORETICAL BIOLOGY, 361, 31–40. https://doi.org/10.1016/j.jtbi.2014.07.020

Gu, J., Ghosal, S., & Kleiner, D. E. (2014). Bayesian ROC curve estimation under verification bias. Statistics in Medicine, 33(29), 5081–5096. https://doi.org/10.1002/SIM.6297

Rohrbaugh, N., Bryan, I., Bryan, Z., Arellano, C., Collazo, R., & Ivanisevic, A. (2014). AlGaN/GaN field effect transistors functionalized with recognition peptides. Applied Physics Letters, 105(13).

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LePrevost, C. E., Storm, J. F., Asuaje, C. R., Arellano, C., & Cope, W. G. (2014). Assessing the Effectiveness of the Pesticides and Farmworker Health Toolkit: A Curriculum for Enhancing Farmworkers' Understanding of Pesticide Safety Concepts. JOURNAL OF AGROMEDICINE, 19(2), 96–102. https://doi.org/10.1080/1059924x.2014.886538

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Turnbull, B. C., & Ghosh, S. K. (2014). Unimodal density estimation using Bernstein polynomials. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 72, 13–29. https://doi.org/10.1016/j.csda.2013.10.021

Popa-Burke, I., Novick, S., Lane, C. A., Hogan, R., Torres-Saavedra, P., Hardy, B., … Miller, L. (2014). The effect of initial purity on the stability of solutions in storage. Journal of Biomolecular Screening, 19(2), 308–316.

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