Biometrics

1999 - 2023

From The International Biometric Society
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Volume 72, issue 4, 2016

Identifying predictive markers for personalized treatment selection pp. 1017-1025

Yuanyuan Shen and Tianxi Cai

A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effects pp. 1026-1036

Patrick M. Schnell, Qi Tang, Walter W. Offen and Bradley P. Carlin

Robust risk prediction with biomarkers under two‐phase stratified cohort design pp. 1037-1045

Rebecca Payne, Ming Yang, Yingye Zheng, Majken K. Jensen and Tianxi Cai

Comparing biomarkers as trial level general surrogates pp. 1046-1054

Erin E. Gabriel, Michael J. Daniels and M. Elizabeth Halloran

Propensity score matching and subclassification in observational studies with multi‐level treatments pp. 1055-1065

Shu Yang, Guido Imbens, Zhanglin Cui, Douglas E. Faries and Zbigniew Kadziola

Accounting for interactions and complex inter‐subject dependency in estimating treatment effect in cluster‐randomized trials with missing outcomes pp. 1066-1077

Melanie Prague, Rui Wang, Alisa Stephens, Eric Tchetgen Tchetgen and Victor DeGruttola

Simultaneous inference on treatment effects in survival studies with factorial designs pp. 1078-1085

Dan‐Yu Lin, Jianjian Gong, Paul Gallo, Paul H. Bunn and David Couper

Sieve estimation of Cox models with latent structures pp. 1086-1097

Yongxiu Cao, Jian Huang, Yanyan Liu and Xingqiu Zhao

On confidence intervals for the hazard ratio in randomized clinical trials pp. 1098-1102

Dan‐Yu Lin, Luyan Dai, Gang Cheng and Martin Oliver Sailer

Regression analysis of case K interval‐censored failure time data in the presence of informative censoring pp. 1103-1112

Peijie Wang, Hui Zhao and Jianguo Sun

Marginal regression analysis of recurrent events with coarsened censoring times pp. 1113-1122

X. Joan Hu and Rhonda J. Rosychuk

Joint latent class model for longitudinal data and interval‐censored semi‐competing events: Application to dementia pp. 1123-1135

Anaïs Rouanet, Pierre Joly, Jean‐François Dartigues, Cécile Proust‐Lima and Hélène Jacqmin‐Gadda

Improving efficiency using the Rao–Blackwell theorem in corrected and conditional score estimation methods for joint models pp. 1136-1144

Yih‐Huei Huang, Wen‐Han Hwang and Fei‐Yin Chen

Survival impact index and ultrahigh‐dimensional model‐free screening with survival outcomes pp. 1145-1154

Jialiang Li, Qi Zheng, Limin Peng and Zhipeng Huang

Flexible variable selection for recovering sparsity in nonadditive nonparametric models pp. 1155-1163

Zaili Fang, Inyoung Kim and Patrick Schaumont

Variable selection for binary spatial regression: Penalized quasi‐likelihood approach pp. 1164-1172

Wenning Feng, Abdhi Sarkar, Chae Young Lim and Tapabrata Maiti

Oracle estimation of parametric models under boundary constraints pp. 1173-1183

Kin Yau Wong, Yair Goldberg and Jason P. Fine

Fused lasso with the adaptation of parameter ordering in combining multiple studies with repeated measurements pp. 1184-1193

Fei Wang, Lu Wang and Peter X.‐K. Song

Estimation and testing for multiple regulation of multivariate mixed outcomes pp. 1194-1205

Denis Agniel, Katherine P. Liao and Tianxi Cai

Bayesian hierarchical modeling for subject‐level response classification in peptide microarray immunoassays pp. 1206-1215

Gregory Imholte and Raphael Gottardo

CCor: A whole genome network‐based similarity measure between two genes pp. 1216-1225

Yiming Hu and Hongyu Zhao

Spatial scan statistics for detection of multiple clusters with arbitrary shapes pp. 1226-1234

Pei‐Sheng Lin, Yi‐Hung Kung and Murray Clayton

Maximum likelihood estimation for N‐mixture models pp. 1235-1245

Linda M. Haines

Bayesian population size estimation using Dirichlet process mixtures pp. 1246-1254

Daniel Manrique‐Vallier

Mixture of time‐dependent growth models with an application to blue swimmer crab length‐frequency data pp. 1255-1265

Luke R. Lloyd‐Jones, Hien D. Nguyen, Geoffrey J. McLachlan, Wayne Sumpton and You‐Gan Wang

Circular piecewise regression with applications to cell‐cycle data pp. 1266-1274

Cristina Rueda, Miguel A. Fernández, Sandra Barragán, Kanti V. Mardia and Shyamal D. Peddada

Single‐index varying coefficient model for functional responses pp. 1275-1284

Xinchao Luo, Lixing Zhu and Hongtu Zhu

Confidence sets for optimal factor levels of a response surface pp. 1285-1293

Fang Wan, Wei Liu, Frank Bretz and Yang Han

Estimation in closed capture–recapture models when covariates are missing at random pp. 1294-1304

Shen-Ming Lee, Wen‐Han Hwang and Jean de Dieu Tapsoba

A generalized abundance index for seasonal invertebrates pp. 1305-1314

Emily B. Dennis, Byron J. T. Morgan, Stephen N. Freeman, Tom M. Brereton and David B. Roy

Biased and unbiased estimation in longitudinal studies with informative visit processes pp. 1315-1324

Charles E. McCulloch, John M. Neuhaus and Rebecca L. Olin

Label‐noise resistant logistic regression for functional data classification with an application to Alzheimer's disease study pp. 1325-1335

Seokho Lee, Hyejin Shin and Sang Han Lee

Approximate median regression for complex survey data with skewed response pp. 1336-1347

Raphael André Fraser, Stuart R. Lipsitz, Debajyoti Sinha, Garrett M. Fitzmaurice and Yi Pan

A sup‐score test for the cure fraction in mixture models for long‐term survivors pp. 1348-1357

Wei‐Wen Hsu, David Todem and KyungMann Kim

PCAN: Probabilistic correlation analysis of two non‐normal data sets pp. 1358-1368

Roger S. Zoh, Bani Mallick, Ivan Ivanov, Veera Baladandayuthapani, Ganiraju Manyam, Robert S. Chapkin, Johanna W. Lampe and Raymond J. Carroll

Moment reconstruction and moment‐adjusted imputation when exposure is generated by a complex, nonlinear random effects modeling process pp. 1369-1377

Cornelis J. Potgieter, Rubin Wei, Victor Kipnis, Laurence S. Freedman and Raymond J. Carroll

Meta‐analysis framework for exact inferences with application to the analysis of rare events pp. 1378-1386

Guang Yang, Dungang Liu, Junyuan Wang and Min‐ge Xie

GUIDO IMBENS, DONALD RUBIN, Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. New York: Cambridge University Press pp. 1387-1388

Bryan E. Shepherd, Ryan Jarrett and Lingjun Fu

GEORGE TSENG, DEBASHISH GHOSH, XIANGHON JASMINE ZHOU, EDS. Integrating Omics Data. New York: Cambridge University Press pp. 1388-1389

Jonathan A. L. Gelfond

S. T. BUCKLAND, E. A. REXSTAD, T. A. MARQUES, C. S. OEDEKOVEN, Distance Sampling: Methods and Applications. Heidelberg: Springer pp. 1389-1390

Jeff Laake

AMANDA L. GEELBEK, INGRAM OLKIN, YULIA R. GEL, Leadership and Women in Statistics. Boca Raton: CRC Press pp. 1390-1391

Dalene Stangl

Volume 72, issue 3, 2016

An information-theoretic approach for the evaluation of surrogate endpoints based on causal inference pp. 669-677

Ariel Alonso, Wim Van der Elst, Geert Molenberghs, Marc Buyse and Tomasz Burzykowski

Spatial regression with covariate measurement error: A semiparametric approach pp. 678-686

Md Hamidul Huque, Howard D. Bondell, Raymond J. Carroll and Louise M. Ryan

Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data pp. 687-696

Jesper Møller, Mohammad Ghorbani and Ege Rubak

A flexible ratio regression approach for zero-truncated capture–recapture counts pp. 697-706

Dankmar Böhning, Irene Rocchetti, Marco Alfó and Heinz Holling

Flexible link functions in nonparametric binary regression with Gaussian process priors pp. 707-719

Dan Li, Xia Wang, Lizhen Lin and Dipak K. Dey

Robust nonparametric estimation of monotone regression functions with interval-censored observations pp. 720-730

Ying Zhang, Gang Cheng and Wanzhu Tu

Model selection and inference for censored lifetime medical expenditures pp. 731-741

Brent A. Johnson, Qi Long, Yijian Huang, Kari Chansky and Mary Redman

Estimating treatment effect in a proportional hazards model in randomized clinical trials with all-or-nothing compliance pp. 742-750

Shuli Li and Robert J. Gray

Sparse estimation of Cox proportional hazards models via approximated information criteria pp. 751-759

Xiaogang Su, Chalani S. Wijayasinghe, Juanjuan Fan and Ying Zhang

A log-rank-type test to compare net survival distributions pp. 760-769

Nathalie Grafféo, Fabienne Castell, Aurélien Belot and Roch Giorgi

A new flexible dependence measure for semi-competing risks pp. 770-779

Jing Yang and Limin Peng

Nonparametric analysis of bivariate gap time with competing risks pp. 780-790

Chiung-Yu Huang, Chenguang Wang and Mei-Cheng Wang

Estimation of sparse directed acyclic graphs for multivariate counts data pp. 791-803

Sung Won Han and Hua Zhong

Modeling overdispersion heterogeneity in differential expression analysis using mixtures pp. 804-814

Elisabetta Bonafede, Franck Picard, Stéphane Robin and Cinzia Viroli

Sequential model selection-based segmentation to detect DNA copy number variation pp. 815-826

Jianhua Hu, Liwen Zhang and Huixia Judy Wang

The latent class twin method pp. 827-834

Stuart G. Baker

The interval testing procedure: A general framework for inference in functional data analysis pp. 835-845

Alessia Pini and Simone Vantini

Interpretable functional principal component analysis pp. 846-854

Zhenhua Lin, Liangliang Wang and Jiguo Cao

Model assessment in dynamic treatment regimen estimation via double robustness pp. 855-864

Michael P. Wallace, Erica E. M. Moodie and David A. Stephens

Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial pp. 865-876

Bibhas Chakraborty, Palash Ghosh, Erica E. M. Moodie and A. John Rush

A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies pp. 877-887

Junlong Li, Lihui Zhao, Lu Tian, Tianxi Cai, Brian Claggett, Andrea Callegaro, Benjamin Dizier, Bart Spiessens, Fernando Ulloa-Montoya and Lee-Jen Wei

Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design pp. 888-896

Nabihah Tayob, Kim-Anh Do and Ziding Feng

Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic pp. 897-906

Ming Wang and Qi Long

Joint model for left-censored longitudinal data, recurrent events and terminal event: Predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000–05 trial pp. 907-916

Agnieszka Król, Loïc Ferrer, Jean-Pierre Pignon, Cécile Proust-Lima, Michel Ducreux, Olivier Bouché, Stefan Michiels and Virginie Rondeau

A class of joint models for multivariate longitudinal measurements and a binary event pp. 917-925

Sungduk Kim and Paul S. Albert

Global rank tests for multiple, possibly censored, outcomes pp. 926-935

Ritesh Ramchandani, David A. Schoenfeld and Dianne M. Finkelstein

A three-groups model for high-throughput survival screens pp. 936-944

Benjamin A. Shaby, Gaia Skibinski, Michael Ando, Eva S. LaDow and Steven Finkbeiner

A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis pp. 945-954

Jingchunzi Shi and Seunggeun Lee

Bayesian inference for latent biologic structure with determinantal point processes (DPP) pp. 955-964

Yanxun Xu, Peter Müller and Donatello Telesca

An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assay pp. 965-975

Robert H. Lyles, Emily M. Mitchell, Clarice R. Weinberg, David M. Umbach and Enrique F. Schisterman

Estimation and interpretation of heterogeneous vaccine efficacy against recurrent infections pp. 976-985

Juha Mehtälä, Ron Dagan and Kari Auranen

Marginal mean models for zero-inflated count data pp. 986-994

David Todem, KyungMann Kim and Wei-Wen Hsu

Boomerang: A method for recursive reclassification pp. 995-1002

Sean M. Devlin, Irina Ostrovnaya and Mithat Gönen

Reader reaction: Instrumental variable additive hazards models with exposure-dependent censoring pp. 1003-1005

Kwun Chuen Gary Chan

FRANK E. HARRELL, Jr., Regression Modeling Strategies: With Applications, to Linear Models, Logistic and Ordinal Regression, and Survival Analysis, 2nd ed. Heidelberg: Springer pp. 1006-1007

E. W. Steyerberg

LYLE D. BROEMELING, Bayesian Methods in Epidemiology. Boca Raton, FL: CRC Press pp. 1006-1008

Julie Paulus

SOMNATH DATTA AND DAN NETTLETON, Statistical Analysis of Next-Generation Sequencing Data. Heidelberg: Springer pp. 1008-1008

Aurélien Tellier

GARRETT M. FITZMAURICE, NAN M. LAIRD, AND JAMES H. WARE, Applied Longitudinal Analysis. Hoboken: Wiley pp. 1009-1009

Donna Pauler Ankerst

Volume 72, issue 2, 2016

Modeling interdependent animal movement in continuous time pp. 315-324

Mu Niu, Paul G. Blackwell and Anna Skarin

Large-scale signal detection: A unified perspective pp. 325-334

Subhadeep Mukhopadhyay

An empirically adjusted approach to reproductive number estimation for stochastic compartmental models: A case study of two Ebola outbreaks pp. 335-343

Grant D. Brown, Jacob J. Oleson and Aaron T. Porter

Alive SMC-super-2: Bayesian model selection for low-count time series models with intractable likelihoods pp. 344-353

Christopher C. Drovandi and Roy A. McCutchan

Estimating DNA methylation levels by joint modeling of multiple methylation profiles from microarray data pp. 354-363

Tao Wang, Mengjie Chen and Hongyu Zhao

Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine pp. 364-371

Dehan Kong, Arnab Maity, Fang-Chi Hsu and Jung-Ying Tzeng

Kernel machine testing for risk prediction with stratified case cohort studies pp. 372-381

Rebecca Payne, Matey Neykov, Majken Karoline Jensen and Tianxi Cai

Using the whole cohort in the analysis of countermatched samples pp. 382-391

C. Rivera and T. Lumley

The residual-based predictiveness curve: A visual tool to assess the performance of prediction models pp. 392-401

Giuseppe Casalicchio, Bernd Bischl, Anne-Laure Boulesteix and Matthias Schmid

Hypothesis test of mediation effect in causal mediation model with high-dimensional continuous mediators pp. 402-413

Yen-Tsung Huang and Wen-Chi Pan

Optimal Bayesian adaptive trials when treatment efficacy depends on biomarkers pp. 414-421

Yifan Zhang, Lorenzo Trippa and Giovanni Parmigiani

Enhanced precision in the analysis of randomized trials with ordinal outcomes pp. 422-431

Iván Díaz, Elizabeth Colantuoni and Michael Rosenblum

A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative pp. 432-440

Sandipan Dutta and Somnath Datta

Cluster adjusted regression for displaced subject data ( CARDS ): Marginal inference under potentially informative temporal cluster size profiles pp. 441-451

Joe Bible, James D. Beck and Somnath Datta

Parsimonious covariate selection with censored outcomes pp. 452-462

Albert Gregory DiRienzo

Instrumental variable method for time-to-event data using a pseudo-observation approach pp. 463-472

Maiken I. S. Kjaersgaard and Erik T. Parner

A flexible AFT model for misclassified clustered interval-censored data pp. 473-483

María José García-Zattera, Alejandro Jara and Arnošt Komárek

A significance test for graph-constrained estimation pp. 484-493

Sen Zhao and Ali Shojaie

Testing multiple hypotheses with skewed alternatives pp. 494-502

Naveen K. Bansal, Gholamhossein G. Hamedani and Mehdi Maadooliat

Tolerance bands for functional data pp. 503-512

Lasitha N. Rathnayake and Pankaj K. Choudhary

Movement prediction using accelerometers in a human population pp. 513-524

Luo Xiao, Bing He, Annemarie Koster, Paolo Caserotti, Brittney Lange-Maia, Nancy W. Glynn, Tamara B. Harris and Ciprian M. Crainiceanu

Semiparametric methods to contrast gap time survival functions: Application to repeat kidney transplantation pp. 525-534

Xu Shu and Douglas E. Schaubel

Nonparametric methods for analyzing recurrent gap time data with application to infections after hematopoietic cell transplant pp. 535-545

Chi Hyun Lee, Xianghua Luo, Chiung-Yu Huang, Todd E. DeFor, Claudio G. Brunstein and Daniel J. Weisdorf

Multivariate piecewise exponential survival modeling pp. 546-553

Yan Li, Orestis A. Panagiotou, Amanda Black, Dandan Liao and Sholom Wacholder

A unified Bayesian semiparametric approach to assess discrimination ability in survival analysis pp. 554-562

Lili Zhao, Dai Feng, Guoan Chen and Jeremy M. G. Taylor

Mediation analysis for survival data using semiparametric probit models pp. 563-574

Yen-Tsung Huang and Tianxi Cai

Bayesian predictive modeling for genomic based personalized treatment selection pp. 575-583

Junsheng Ma, Francesco C. Stingo and Brian P. Hobbs

Bayes and empirical Bayes methods for reduced rank regression models in matched case-control studies pp. 584-595

Jaya M. Satagopan, Ananda Sen, Qin Zhou, Qing Lan, Nathaniel Rothman, Hilde Langseth and Lawrence S. Engel

A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data pp. 596-605

Shuo Chen, F. DuBois Bowman and Helen S. Mayberg

Marginal regression models for clustered count data based on zero-inflated Conway–Maxwell–Poisson distribution with applications pp. 606-618

Hyoyoung Choo-Wosoba, Steven M. Levy and Somnath Datta

Semi-Markov Arnason–Schwarz models pp. 619-628

Ruth King and Roland Langrock

A unified set-based test with adaptive filtering for gene–environment interaction analyses pp. 629-638

Qianying Liu, Lin S. Chen, Dan L. Nicolae and Brandon L. Pierce

False discovery rate estimation for large-scale homogeneous discrete p-values pp. 639-648

Kun Liang

Capitalizing on opportunistic data for monitoring relative abundances of species pp. 649-658

Christophe Giraud, Clément Calenge, Camille Coron and Romain Julliard

MICHAEL FRIENDLY AND DAVID MEYER. Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data. Boca Raton, FL: CRC Press pp. 659-660

Alan Agresti

ADRIAN BADDELEY, EGE RUBAK, AND ROLF TURNER, Spatial Point Patterns: Methodology and Applications with R. Boca Raton, FL: CRC Press pp. 660-661

M. N. M. van Lieshout

TAN WAI-YUAN, Stochastic Models with Applications to Genetics, Cancers, AIDS, and Other Biomedical Systems, 2-super-nd ed. Singapore: World Scientific Publishing Co pp. 661-661

Silke Rolles

KATIE HARRON, HARVEY GOLDSTEIN, AND CHRIS DIBBEN, eds, Methodological Developments in Data Linkage. New York: Wiley pp. 661-662

Donna Pauler Ankerst

Volume 72, issue 1, 2016

Comparing treatment policies with assistance from the structural nested mean model pp. 10-19

Xi Lu, Kevin G. Lynch, David W. Oslin and Susan Murphy

New methods for treatment effect calibration, with applications to non-inferiority trials pp. 20-29

Zhiwei Zhang, Lei Nie, Guoxing Soon and Zonghui Hu

Augmented case-only designs for randomized clinical trials with failure time endpoints pp. 30-38

James Y. Dai, Xinyi Cindy Zhang, Ching-Yun Wang and Charles Kooperberg

Comparison of multiple hazard rate functions pp. 39-45

Zhongxue Chen, Hanwen Huang and Peihua Qiu

Mixed effects models for recurrent events data with partially observed time-varying covariates: Ecological momentary assessment of smoking pp. 46-55

Stephen L. Rathbun and Saul Shiffman

Bayesian framework for parametric bivariate accelerated lifetime modeling and its application to hospital acquired infections pp. 56-63

D. Bilgili, D. Ryu, Ö. Ergönül and N. Ebrahimi

Quantile regression analysis of censored longitudinal data with irregular outcome-dependent follow-up pp. 64-73

Xiaoyan Sun, Limin Peng, Amita Manatunga and Michele Marcus

Parametric modeling of quantile regression coefficient functions pp. 74-84

Paolo Frumento and Matteo Bottai

Detection of gene–gene interactions using multistage sparse and low-rank regression pp. 85-94

Hung Hung, Yu-Ting Lin, Penweng Chen, Chen-Chien Wang, Su-Yun Huang and Jung-Ying Tzeng

Optimum study design for detecting imprinting and maternal effects based on partial likelihood pp. 95-105

Fangyuan Zhang, Abbas Khalili and Shili Lin

A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiology pp. 106-115

Victor Kipnis, Laurence S. Freedman, Raymond J. Carroll and Douglas Midthune

A general class of recapture models based on the conditional capture probabilities pp. 116-124

Alessio Farcomeni

Flexible behavioral capture–recapture modeling pp. 125-135

Danilo Alunni Fegatelli and Luca Tardella

Rediscovery of Good–Turing estimators via Bayesian nonparametrics pp. 136-145

Stefano Favaro, Bernardo Nipoti and Yee Whye Teh

PenPC: A two-step approach to estimate the skeletons of high-dimensional directed acyclic graphs pp. 146-155

Min Jin Ha, Wei Sun and Jichun Xie

Test for rare variants by environment interactions in sequencing association studies pp. 156-164

Xinyi Lin, Seunggeun Lee, Michael C. Wu, Chaolong Wang, Han Chen, Zilin Li and Xihong Lin

Pathway analysis for RNA-Seq data using a score-based approach pp. 165-174

Yi-Hui Zhou

The cross-cut statistic and its sensitivity to bias in observational studies with ordered doses of treatment pp. 175-183

Paul R. Rosenbaum

Nonparametric Bayes modeling for case control studies with many predictors pp. 184-192

Jing Zhou, Amy H. Herring, Anirban Bhattacharya, Andrew F. Olshan and David B. Dunson

A Bayesian joint model of menstrual cycle length and fecundity pp. 193-203

Kirsten J. Lum, Rajeshwari Sundaram, Germaine M. Buck Louis and Thomas A. Louis

Joint frailty models for zero-inflated recurrent events in the presence of a terminal event pp. 204-214

Lei Liu, Xuelin Huang, Alex Yaroshinsky and Janice N. Cormier

On the restricted mean survival time curve in survival analysis pp. 215-221

Lihui Zhao, Brian Claggett, Lu Tian, Hajime Uno, Marc A. Pfeffer, Scott D. Solomon, Lorenzo Trippa and L. J. Wei

A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data pp. 222-231

Lianming Wang, Christopher S. McMahan, Michael G. Hudgens and Zaina P. Qureshi

Confidence intervals for the ratio of two median residual lifetimes with left-truncated and right-censored data pp. 232-241

Tsung-Hsien Tsai, Wei-Yann Tsai, Yunchan Chi and Sheng-Mao Chang

A two-step semiparametric method to accommodate sampling weights in multiple imputation pp. 242-252

Hanzhi Zhou, Michael R. Elliott and Trviellore E. Raghunathan

An approximate marginal logistic distribution for the analysis of longitudinal ordinal data pp. 253-261

Nazanin Nooraee, Fentaw Abegaz, Johan Ormel, Ernst Wit and Edwin R van den Heuvel

Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model pp. 262-271

James E. Lyons, William L. Kendall, J. Andrew Royle, Sarah J. Converse, Brad A. Andres and Joseph B. Buchanan

Subsampling versus bootstrapping in resampling-based model selection for multivariable regression pp. 272-280

Riccardo De Bin, Silke Janitza, Willi Sauerbrei and Anne-Laure Boulesteix

A Bayesian model for quantifying the change in mortality associated with future ozone exposures under climate change pp. 281-288

Stacey E. Alexeeff, Gabriele G. Pfister and Doug Nychka

Efficient estimation and prediction for the Bayesian binary spatial model with flexible link functions pp. 289-298

Vivekananda Roy, Evangelos Evangelou and Zhengyuan Zhu

Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification pp. 299-302

Yaakov Malinovsky, Paul S. Albert and Anindya Roy

Rejoinder to “Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification” pp. 303-304

Christopher S. McMahan, Joshua M. Tebbs and Christopher R. Bilder

Rejoinder to “Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification” pp. 304-304

Michael G. Hudgens

WEILI HE, JOSÉ PINHEIRO, and OLGA M. KUZNETSOVA. Practical Considerations for Adaptive Trial Design and Implementation. Springer, New York pp. 305-306

Seonwoo Kim

Edited by SVERDLOV O. MODERN. Adaptive Randomized Clinical Trials: Statistical and Practical Aspects. Boca Raton, FL. Chapman & Hall/CRC pp. 306-307

Jungnam Joo