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Content
June 2021, Volume 77, Issue 2
March 2021, Volume 77, Issue 1
December 2020, Volume 76, Issue 4
- 1053-1063 A unified evaluation of differential vaccine efficacy
by Erin E. Gabriel & Michael C. Sachs & Dean A. Follmann & Therese M‐L. Andersson
- 1064-1074 Power analysis for cluster randomized trials with multiple binary co‐primary endpoints
by Dateng Li & Jing Cao & Song Zhang
- 1075-1086 On using electronic health records to improve optimal treatment rules in randomized trials
by Peng Wu & Donglin Zeng & Haoda Fu & Yuanjia Wang
- 1087-1097 Weight calibration to improve the efficiency of pure risk estimates from case‐control samples nested in a cohort
by Yei Eun Shin & Ruth M. Pfeiffer & Barry I. Graubard & Mitchell H. Gail
- 1098-1108 Constructing confidence intervals for selected parameters
by Haibing Zhao & Xinping Cui
- 1109-1119 Partial least squares for functional joint models with applications to the Alzheimer's disease neuroimaging initiative study
by Yue Wang & Joseph G. Ibrahim & Hongtu Zhu
- 1120-1132 Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease
by Christine B. Peterson & Nathan Osborne & Francesco C. Stingo & Pierrick Bourgeat & James D. Doecke & Marina Vannucci
- 1133-1146 A Bayesian nonparametric testing procedure for paired samples
by Luz Adriana Pereira & Daniel Taylor‐Rodríguez & Luis Gutiérrez
- 1147-1156 Nonparametric estimation of distributions and diagnostic accuracy based on group‐tested results with differential misclassification
by Wei Zhang & Aiyi Liu & Qizhai Li & Paul S. Albert
- 1157-1166 On the empirical choice of the time window for restricted mean survival time
by Lu Tian & Hua Jin & Hajime Uno & Ying Lu & Bo Huang & Keaven M. Anderson & LJ Wei
- 1167-1176 Highly efficient stepped wedge designs for clusters of unequal size
by John N. S. Matthews
- 1177-1189 ROC‐guided survival trees and ensembles
by Yifei Sun & Sy Han Chiou & Mei‐Cheng Wang
- 1190-1200 Doubly robust tests of exposure effects under high‐dimensional confounding
by Oliver Dukes & Vahe Avagyan & Stijn Vansteelandt
- 1201-1215 Censored quantile regression model with time‐varying covariates under length‐biased sampling
by Zexi Cai & Tony Sit
- 1216-1228 On symmetric semiparametric two‐sample problem
by Moming Li & Guoqing Diao & Jing Qin
- 1229-1239 Semiparametric modelling and estimation of covariate‐adjusted dependence between bivariate recurrent events
by Jing Ning & Chunyan Cai & Yong Chen & Xuelin Huang & Mei‐Cheng Wang
- 1240-1250 Testing small study effects in multivariate meta‐analysis
by Chuan Hong & Georgia Salanti & Sally C. Morton & Richard D. Riley & Haitao Chu & Stephen E. Kimmel & Yong Chen
- 1251-1254 Discussion on “Testing small study effects in multivariate meta‐analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen
by Hans C. van Houwelingen
- 1255-1259 Discussion on “Testing small study effects in multivariate meta‐analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen
by Hisashi Noma
- 1260-1261 Discussion on ‘Testing small study effects in multivariate meta‐analysis’ by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E Kimmel and Yong Chen
by James R. Carpenter & Gerta Rücker & Guido Schwarzer
- 1262-1272 Operating characteristics of the rank‐based inverse normal transformation for quantitative trait analysis in genome‐wide association studies
by Zachary R. McCaw & Jacqueline M. Lane & Richa Saxena & Susan Redline & Xihong Lin
- 1273-1284 Nonnegative decomposition of functional count data
by Daniel Backenroth & Russell T. Shinohara & Jennifer A. Schrack & Jeff Goldsmith
- 1285-1296 Objective prior distributions for Jolly‐Seber models of zero‐augmented data
by Robert M. Dorazio
- 1297-1309 A Bayesian multi‐risks survival (MRS) model in the presence of double censorings
by Mário de Castro & Ming‐Hui Chen & Yuanye Zhang & Anthony V. D'Amico
- 1310-1318 Estimating individualized treatment rules with risk constraint
by Xinyang Huang & Jin Xu
- 1319-1329 Relative efficiency of using summary versus individual data in random‐effects meta‐analysis
by Ding‐Geng Chen & Dungang Liu & Xiaoyi Min & Heping Zhang
- 1330-1339 Variable selection in joint frailty models of recurrent and terminal events
by Dongxiao Han & Xiaogang Su & Liuquan Sun & Zhou Zhang & Lei Liu
- 1340-1350 Using sufficient direction factor model to analyze latent activities associated with breast cancer survival
by Seungchul Baek & Yen‐Yi Ho & Yanyuan Ma
- 1351-1363 Relapse or reinfection: Classification of malaria infection using transition likelihoods
by Feng‐Chang Lin & Quefeng Li & Jessica T. Lin
- 1364-1373 PA‐CRM: A continuous reassessment method for pediatric phase I oncology trials with concurrent adult trials
by Yimei Li & Ying Yuan
- 1374-1382 Simple outlier detection for a multi‐environmental field trial
by Emi Tanaka
- 1383-1384 CACE and meta‐analysis (Letter to the Editor)
by Stuart G. Baker
- 1385-1389 Rejoinder to “CACE and meta‐analysis (letter to the editor)” by Stuart Baker
by Jincheng Zhou & James S. Hodges & Haitao Chu
- 1390-1391 Time Series Clustering and Classification Elizabeth Ann Maharaj, Pierpaolo D'Urso, and Jorge Caiado. Boca Raton FL: CRC
by Prabhanjan Narayanachar Tattar
- 1391-1391 Reproducible Research in R and R Studio, 3rd edition. By Christopher Gandrud
by Lucy D'Agostino McGowan
- 1392-1394 Artificial intelligence for drug development, precision medicine, and healthcare Mark Chang Boca Raton, FL : Chapman and Hall/CRC, 2020
by Li‐Pang Chen
September 2020, Volume 76, Issue 3
- 677-690 Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories
by James R. Faulkner & Andrew F. Magee & Beth Shapiro & Vladimir N. Minin
- 691-694 Discussion on “Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories” by James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin
by Lorenzo Cappello & Swarnadip Ghosh & Julia A. Palacios
- 695-699 Rejoinder for discussion on “Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories”
by James R. Faulkner & Andrew F. Magee & Beth Shapiro & Vladimir N. Minin
- 700-710 Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies
by Yanyi Song & Xiang Zhou & Min Zhang & Wei Zhao & Yongmei Liu & Sharon L. R. Kardia & Ana V. Diez Roux & Belinda L. Needham & Jennifer A. Smith & Bhramar Mukherjee
- 711-721 Bayesian compartmental models and associated reproductive numbers for an infection with multiple transmission modes
by Marie V. Ozanne & Grant D. Brown & Angela J. Toepp & Breanna M. Scorza & Jacob J. Oleson & Mary E. Wilson & Christine A. Petersen
- 722-733 One‐step targeted maximum likelihood estimation for time‐to‐event outcomes
by Weixin Cai & Mark J. van der Laan
- 734-745 Censored linear regression in the presence or absence of auxiliary survival information
by Ying Sheng & Yifei Sun & Detian Deng & Chiung‐Yu Huang
- 746-752 Optimal approximate conversions of odds ratios and hazard ratios to risk ratios
by Tyler J. VanderWeele
- 753-766 A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction
by Richard Tawiah & Geoffrey J. McLachlan & Shu Kay Ng
- 767-777 Estimating average treatment effects with a double‐index propensity score
by David Cheng & Abhishek Chakrabortty & Ashwin N. Ananthakrishnan & Tianxi Cai
- 778-788 Estimating individualized treatment regimes from crossover designs
by Crystal T. Nguyen & Daniel J. Luckett & Anna R. Kahkoska & Grace E. Shearrer & Donna Spruijt‐Metz & Jaimie N. Davis & Michael R. Kosorok
- 789-798 Multivariate hierarchical frameworks for modeling delayed reporting in count data
by Oliver Stoner & Theo Economou
- 799-810 G‐estimation of structural nested restricted mean time lost models to estimate effects of time‐varying treatments on a failure time outcome
by Yasuhiro Hagiwara & Tomohiro Shinozaki & Yutaka Matsuyama
- 811-820 A fast score test for generalized mixture models
by Rui Duan & Yang Ning & Shuang Wang & Bruce G. Lindsay & Raymond J. Carroll & Yong Chen
- 821-833 A test of homogeneity of distributions when observations are subject to measurement errors
by DongHyuk Lee & Soumendra N. Lahiri & Samiran Sinha
- 834-842 Estimating overdispersion in sparse multinomial data
by Farzana Afroz & Matt Parry & David Fletcher
- 843-852 Statistical inference for net benefit measures in biomarker validation studies
by Tracey L. Marsh & Holly Janes & Margaret S. Pepe
- 853-862 Learning‐based biomarker‐assisted rules for optimized clinical benefit under a risk constraint
by Yanqing Wang & Ying‐Qi Zhao & Yingye Zheng
- 863-873 Order‐restricted inference for clustered ROC data with application to fingerprint matching accuracy
by Wei Zhang & Larry L. Tang & Qizhai Li & Aiyi Liu & Mei‐Ling Ting Lee
- 874-885 Discovering structure in multiple outcomes models for tests of childhood neurodevelopment
by Amy LaLonde & Tanzy Love & Sally W. Thurston & Philip W. Davidson
- 886-899 Dynamic modeling of multivariate dimensions and their temporal relationships using latent processes: Application to Alzheimer's disease
by Bachirou O. Taddé & Hélène Jacqmin‐Gadda & Jean‐François Dartigues & Daniel Commenges & Cécile Proust‐Lima
- 900-912 A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals
by Dalton J. Hance & Russell W. Perry & John M. Plumb & Adam C. Pope
- 913-923 From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data
by Chase N. Joyner & Christopher S. McMahan & Joshua M. Tebbs & Christopher R. Bilder
- 924-938 A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis
by Yihao Li & Danh V. Nguyen & Esra Kürüm & Connie M. Rhee & Yanjun Chen & Kamyar Kalantar‐Zadeh & Damla Şentürk
- 939-950 Sample size and power for the weighted log‐rank test and Kaplan‐Meier based tests with allowance for nonproportional hazards
by Godwin Yung & Yi Liu
- 951-962 Power calculation for cross‐sectional stepped wedge cluster randomized trials with variable cluster sizes
by Linda J Harrison & Tom Chen & Rui Wang
- 963-972 Corrections for measurement error due to delayed onset of illness for case‐crossover designs
by Brent A. Coull & Seokho Lee & Glen McGee & Justin Manjourides & Murray A. Mittleman & Gregory A. Wellenius
- 973-982 Fair regression for health care spending
by Anna Zink & Sherri Rose
- 983-994 Joint analysis of single‐cell and bulk tissue sequencing data to infer intratumor heterogeneity
by Wei Sun & Chong Jin & Jonathan A. Gelfond & Ming‐Hui Chen & Joseph G. Ibrahim
- 995-1006 Identifying disease‐associated biomarker network features through conditional graphical model
by Shanghong Xie & Xiang Li & Peter McColgan & Rachael I. Scahill & Donglin Zeng & Yuanjia Wang
- 1007-1016 Estimating treatment importance in multidrug‐resistant tuberculosis using Targeted Learning: An observational individual patient data network meta‐analysis
by Guanbo Wang & Mireille E. Schnitzer & Dick Menzies & Piret Viiklepp & Timothy H. Holtz & Andrea Benedetti
- 1017-1027 Optimal sampling design and the accuracy of occupancy models
by Henry T. Reich
- 1028-1033 On continuous‐time capture‐recapture in closed populations
by Wei Zhang & Simon J. Bonner
- 1034-1035 Rejoinder to “On continuous‐time capture‐recapture in closed populations”
by Matthew R. Schofield & Richard J. Barker
- 1036-1038 Robustness of ANCOVA in randomized trials with unequal randomization
by Jonathan W. Bartlett
- 1039-1039 Rejoinder to “Robustness of ANCOVA in randomized trials with unequal randomization” by Jonathan W. Bartlett
by Bingkai Wang & Elizabeth L. Ogburn & Michael Rosenblum
- 1040-1042 Comment on “Wang et al. (2005), Robust estimating functions and bias correction for longitudinal data analysis”
by Nicola Lunardon & Giovanna Menardi
- 1043-1044 Rejoinder to “Comment on ‘Wang et al. (2005), Robust estimating functions and bias correction for longitudinal data analysis’ by Nicola Lunardon and Giovanna Menardi”
by You‐Gan Wang & Xu Lin & Min Zhu
- 1045-1046 Dynamic Treatment Regimes: Statistical Methods for Precision Medicine Anastasios A. Tsiatis Marie Davidian Shannon T. Holloway Eric B. Laber Boca Raton, FL: Chapman and Hall/CRC, 2019
by Li‐Pang Chen
- 1047-1048 Statistical remedies for medical researchers. Peter Thall Cham, Switzerland: Springer Nature Switzerland AG, 2020, Hard cover. pp. 291. US$ 113.63
by Peter Müller
June 2020, Volume 76, Issue 2
- 369-379 Approximation of bias and mean‐squared error in two‐sample Mendelian randomization analyses
by Lu Deng & Han Zhang & Lei Song & Kai Yu
- 380-391 On Mendelian randomization analysis of case‐control study
by Han Zhang & Jing Qin & Sonja I. Berndt & Demetrius Albanes & Lu Deng & Mitchell H. Gail & Kai Yu
- 392-402 A spatial open‐population capture‐recapture model
by Murray G. Efford & Matthew R. Schofield
- 403-413 A heterogeneity measure for cluster identification with application to disease mapping
by Pei‐Sheng Lin & Jun Zhu
- 414-426 An adaptive independence test for microbiome community data
by Yaru Song & Hongyu Zhao & Tao Wang
- 427-437 Simultaneous confidence corridors for mean functions in functional data analysis of imaging data
by Yueying Wang & Guannan Wang & Li Wang & R. Todd Ogden
- 438-447 Inference in MCMC step selection models
by Théo Michelot & Paul G. Blackwell & Simon Chamaillé‐Jammes & Jason Matthiopoulos
- 448-459 Penalized survival models for the analysis of alternating recurrent event data
by Lili Wang & Kevin He & Douglas E. Schaubel
- 460-471 Cox regression with survival‐time‐dependent missing covariate values
by Yanyao Yi & Ting Ye & Menggang Yu & Jun Shao
- 472-483 Adjusting for time‐varying confounders in survival analysis using structural nested cumulative survival time models
by Shaun Seaman & Oliver Dukes & Ruth Keogh & Stijn Vansteelandt
- 484-495 Inverse probability weighting methods for Cox regression with right‐truncated data
by Bella Vakulenko‐Lagun & Micha Mandel & Rebecca A. Betensky
- 496-507 Sequential adaptive variables and subject selection for GEE methods
by Zimu Chen & Zhanfeng Wang & Yuan‐chin Ivan Chang
- 508-517 Data reduction prior to inference: Are there consequences of comparing groups using a t‐test based on principal component scores?
by Edward J. Bedrick
- 518-529 Equivalence of regression curves sharing common parameters
by Kathrin Möllenhoff & Frank Bretz & Holger Dette
- 530-539 Bias correction of bounded location error in binary data
by Nelson B. Walker & Trevor J. Hefley & Daniel P. Walsh
- 540-548 Multinomial N‐mixture models for removal sampling
by Linda M. Haines
- 549-560 Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test
by Giovanni Nattino & Michael L. Pennell & Stanley Lemeshow
- 561-563 Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
by Galit Shmueli
- 564-568 Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
by Ivy Liu & Daniel Fernández
- 569-571 Discussion of “Assessing the goodness‐of‐fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test,” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
by Li‐Ching Chen & Jiun‐Yi Wang
- 572-574 Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
by Dandan Liu & Bryan E. Shepherd
- 575-577 Rejoinder to “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test”
by Giovanni Nattino & Michael L. Pennell & Stanley Lemeshow
- 578-587 Predictively consistent prior effective sample sizes
by Beat Neuenschwander & Sebastian Weber & Heinz Schmidli & Anthony O'Hagan
- 588-590 Discussion on “Predictively Consistent Prior Effective Sample Sizes” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan
by Alexander Kaizer & John Kittelson
- 591-594 Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan
by Atanu Biswas & Jean‐François Angers
- 595-598 Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan
by Yeonhee Park & Ruitao Lin
- 599-601 Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan
by Gary L. Rosner & Peter Müller
- 602-605 Rejoinder to “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan
by Beat Neuenschwander & Sebastian Weber & Heinz Schmidli & Anthony O'Hagan
- 606-618 Analysis of secondary phenotypes in multigroup association studies
by Fan Zhou & Haibo Zhou & Tengfei Li & Hongtu Zhu
- 619-629 Gene‐based association analysis for bivariate time‐to‐event data through functional regression with copula models
by Yue Wei & Yi Liu & Tao Sun & Wei Chen & Ying Ding
- 630-642 Bayesian design of biosimilars clinical programs involving multiple therapeutic indications
by Matthew A. Psioda & Kuolung Hu & Yang Zhang & Jean Pan & Joseph G. Ibrahim
- 643-653 Designing precision medicine trials to yield a greater population impact
by Ying‐Qi Zhao & Michael L. LeBlanc
- 654-663 The profile inter‐unit reliability
by Kevin He & Claudia Dahlerus & Lu Xia & Yanming Li & John D. Kalbfleisch
- 664-669 Sharp bounds on the relative treatment effect for ordinal outcomes
by Jiannan Lu & Yunshu Zhang & Peng Ding
- 671-672 Bayesian statistical methods, Brian J. Reich Sujit K. Ghosh, Boca Raton, FL: Chapman and Hall/CRC, 2019, Hard cover. pp. 288. US$ 79.96
by Becky Tang & Amy H. Herring
March 2020, Volume 76, Issue 1
- 9-22 Large scale maximum average power multiple inference on time‐course count data with application to RNA‐seq analysis
by Meng Cao & Wen Zhou & F. Jay Breidt & Graham Peers
- 23-35 Structured gene‐environment interaction analysis
by Mengyun Wu & Qingzhao Zhang & Shuangge Ma
- 36-46 Testing independence between two random sets for the analysis of colocalization in bioimaging
by Frédéric Lavancier & Thierry Pécot & Liu Zengzhen & Charles Kervrann
- 47-60 Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach
by Qi Zheng & Hyokyoung G. Hong & Yi Li
- 61-74 Integrative factorization of bidimensionally linked matrices
by Jun Young Park & Eric F. Lock
- 75-86 Estimation of covariance matrix of multivariate longitudinal data using modified Choleksky and hypersphere decompositions
by Keunbaik Lee & Hyunsoon Cho & Min‐Sun Kwak & Eun Jin Jang
- 87-97 A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies
by Bei Jiang & Eva Petkova & Thaddeus Tarpey & R. Todd Ogden
- 98-108 Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach
by Rui Duan & Ming Cao & Yang Ning & Mingfu Zhu & Bin Zhang & Aidan McDermott & Haitao Chu & Xiaohua Zhou & Jason H. Moore & Joseph G. Ibrahim & Daniel O. Scharfstein & Yong Chen
- 109-118 Robust inference on the average treatment effect using the outcome highly adaptive lasso
by Cheng Ju & David Benkeser & Mark J. van der Laan
- 119-130 Robust inference for the stepped wedge design
by James P. Hughes & Patrick J. Heagerty & Fan Xia & Yuqi Ren
- 131-144 Semiparametric mixed‐scale models using shared Bayesian forests
by Antonio R. Linero & Debajyoti Sinha & Stuart R. Lipsitz
- 145-157 Data‐adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss‐based estimation
by Mireille E. Schnitzer & Joel Sango & Steve Ferreira Guerra & Mark J. van der Laan
- 158-170 A geostatistical framework for combining spatially referenced disease prevalence data from multiple diagnostics
by Benjamin Amoah & Peter J. Diggle & Emanuele Giorgi
- 171-182 An online updating approach for testing the proportional hazards assumption with streams of survival data
by Yishu Xue & HaiYing Wang & Jun Yan & Elizabeth D. Schifano
- 183-196 Adaptive treatment allocation for comparative clinical studies with recurrent events data
by Jingya Gao & Pei‐Fang Su & Feifang Hu & Siu Hung Cheung
- 197-209 A response‐adaptive randomization procedure for multi‐armed clinical trials with normally distributed outcomes
by S. Faye Williamson & Sofía S. Villar
- 210-223 Novel two‐phase sampling designs for studying binary outcomes
by Le Wang & Matthew L. Williams & Yong Chen & Jinbo Chen
- 224-234 Design and analysis of bridging studies with prior probabilities on the null and alternative hypotheses
by Donglin Zeng & Zhiying Pan & D. Y. Lin
- 235-245 Randomization inference with general interference and censoring
by Wen Wei Loh & Michael G. Hudgens & John D. Clemens & Mohammad Ali & Michael E. Emch
- 246-256 A functional generalized F‐test for signal detection with applications to event‐related potentials significance analysis
by David Causeur & Ching‐Fan Sheu & Emeline Perthame & Flavia Rufini
- 257-269 Distance‐based analysis of variance for brain connectivity
by Russell T. Shinohara & Haochang Shou & Marco Carone & Robert Schultz & Birkan Tunc & Drew Parker & Melissa Lynne Martin & Ragini Verma
- 270-280 Improving estimation efficiency for regression with MNAR covariates
by Menglu Che & Peisong Han & Jerald F. Lawless
- 281-292 A general framework for modeling population abundance data
by Panagiotis Besbeas & Byron J. T. Morgan
- 293-303 Testing the heritability and parent‐of‐origin hypotheses for ages at onset of psoriatic arthritis under biased sampling
by Lajmi Lakhal‐Chaieb & Richard J. Cook & Yujie Zhong
- 304-315 An adaptive trial design to optimize dose‐schedule regimes with delayed outcomes
by Ruitao Lin & Peter F. Thall & Ying Yuan
- 316-325 Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data
by Arnab Kumar Maity & Anirban Bhattacharya & Bani K. Mallick & Veerabhadran Baladandayuthapani
- 326-336 Quantification of prior impact in terms of effective current sample size
by Manuel Wiesenfarth & Silvia Calderazzo
- 337-347 Permutation inference methods for multivariate meta‐analysis
by Hisashi Noma & Kengo Nagashima & Toshi A. Furukawa
- 348-358 Biclustering via sparse clustering
by Erika S. Helgeson & Qian Liu & Guanhua Chen & Michael R. Kosorok & Eric Bair
- 359-360 Multistate models for the analysis of life history data, Richard J. Cook, Jerald F. Lawless, Boca Raton, FL: Chapman and Hall/CRC, 2020. Hard cover. pp. 441. CDN$ 121.00
by Li‐Pang Chen
- 361-362 Deep learning with R, François Chollet, Joseph J. Allaire, Shelter Island, NY: Manning
by Sehee Kim
- 362-362 Spatial data analysis in ecology and agriculture using R, Richard E. Plant, Boca Raton, FL: CRC Press, 2019
by Marie‐Josée Fortin
- 363-364 Nonparametric models for longitudinal data: With implementation in R, Colin O. Wu, Xin Tian, Boca Raton, FL: CRC Press
by Mohammed Chowdhury
December 2019, Volume 75, Issue 4
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