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Content
September 2018, Volume 74, Issue 3
June 2018, Volume 74, Issue 2
- 389-398 Data†driven confounder selection via Markov and Bayesian networks
by Jenny Häggström
- 399-402 Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Jenny Häggström
by Edward H. Kennedy & Sivaraman Balakrishnan
- 403-406 Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Häggström
by Thomas S. Richardson & James M. Robins & Linbo Wang
- 407-410 Rejoinder to Discussions on: Data†driven confounder selection via Markov and Bayesian networks
by Jenny Häggström
- 411-420 Spatial capture–mark–resight estimation of animal population density
by Murray G. Efford & Christine M. Hunter
- 421-429 Integrated powered density: Screening ultrahigh dimensional covariates with survival outcomes
by Hyokyoung G. Hong & Xuerong Chen & David C. Christiani & Yi Li
- 430-438 Joint principal trend analysis for longitudinal high†dimensional data
by Yuping Zhang & Zhengqing Ouyang
- 439-447 Eigenvalue significance testing for genetic association
by Yi†Hui Zhou & J. S. Marron & Fred A. Wright
- 448-457 A GLM†based latent variable ordination method for microbiome samples
by Michael B. Sohn & Hongzhe Li
- 458-471 Empirical null estimation using zero†inflated discrete mixture distributions and its application to protein domain data
by Iris Ivy M. Gauran & Junyong Park & Johan Lim & DoHwan Park & John Zylstra & Thomas Peterson & Maricel Kann & John L. Spouge
- 472-480 Augmented and doubly robust G†estimation of causal effects under a Structural nested failure time model
by Karl Mertens & Stijn Vansteelandt
- 481-487 Inverse probability weighted Cox regression for doubly truncated data
by Micha Mandel & Jacobo de Uña†à lvarez & David K. Simon & Rebecca A. Betensky
- 488-497 A semiparametric likelihood†based method for regression analysis of mixed panel†count data
by Liang Zhu & Ying Zhang & Yimei Li & Jianguo Sun & Leslie L. Robison
- 498-505 Monte Carlo methods for nonparametric regression with heteroscedastic measurement error
by Julie McIntyre & Brent A. Johnson & Stephen M. Rappaport
- 506-516 Optimal treatment assignment to maximize expected outcome with multiple treatments
by Zhilan Lou & Jun Shao & Menggang Yu
- 517-528 Estimation and evaluation of linear individualized treatment rules to guarantee performance
by Xin Qiu & Donglin Zeng & Yuanjia Wang
- 529-537 Adaptive designs for the one†sample log†rank test
by Rene Schmidt & Andreas Faldum & Robert Kwiecien
- 538-547 Experimental design for multi†drug combination studies using signaling networks
by Hengzhen Huang & Hong†Bin Fang & Ming T. Tan
- 548-556 A matrix†based method of moments for fitting multivariate network meta†analysis models with multiple outcomes and random inconsistency effects
by Dan Jackson & Sylwia Bujkiewicz & Martin Law & Richard D. Riley & Ian R. White
- 557-565 Risk prediction for heterogeneous populations with application to hospital admission prediction
by Jared D. Huling & Menggang Yu & Muxuan Liang & Maureen Smith
- 566-574 Regularity of a renewal process estimated from binary data
by John D. Rice & Robert L. Strawderman & Brent A. Johnson
- 575-583 Analysis of restricted mean survival time for length†biased data
by Chi Hyun Lee & Jing Ning & Yu Shen
- 584-594 Clustering distributions with the marginalized nested Dirichlet process
by Daiane Aparecida Zuanetti & Peter Müller & Yitan Zhu & Shengjie Yang & Yuan Ji
- 595-605 Covariate†adjusted Spearman's rank correlation with probability†scale residuals
by Qi Liu & Chun Li & Valentine Wanga & Bryan E. Shepherd
- 606-615 Heterogeneous reciprocal graphical models
by Yang Ni & Peter Müller & Yitan Zhu & Yuan Ji
- 616-625 Estimation of cis†eQTL effect sizes using a log of linear model
by John Palowitch & Andrey Shabalin & Yi†Hui Zhou & Andrew B. Nobel & Fred A. Wright
- 626-635 Continuous†time capture–recapture in closed populations
by Matthew R. Schofield & Richard J. Barker & Nicholas Gelling
- 636-644 Bayesian variable selection for multistate Markov models with interval†censored data in an ecological momentary assessment study of smoking cessation
by Matthew D. Koslovsky & Michael D. Swartz & Wenyaw Chan & Luis Leon†Novelo & Anna V. Wilkinson & Darla E. Kendzor & Michael S. Businelle
- 645-652 Fully Bayesian spectral methods for imaging data
by Brian J. Reich & Joseph Guinness & Simon N. Vandekar & Russell T. Shinohara & Ana†Maria Staicu
- 653-662 Testing for gene–environment interaction under exposure misspecification
by Ryan Sun & Raymond J. Carroll & David C. Christiani & Xihong Lin
- 663-672 Single index methods for evaluation of marker†guided treatment rules based on multivariate marker panels
by Veronika Skrivankova & Patrick J. Heagerty
- 673-684 Sample size determination for multilevel hierarchical designs using generalized linear mixed models
by Anup Amatya & Dulal K. Bhaumik
- 685-693 Improved dynamic predictions from joint models of longitudinal and survival data with time†varying effects using P†splines
by Eleni†Rosalina Andrinopoulou & Paul H. C. Eilers & Johanna J. M. Takkenberg & Dimitris Rizopoulos
- 694-702 Efficiency of two sample tests via the restricted mean survival time for analyzing event time observations
by Lu Tian & Haoda Fu & Stephen J. Ruberg & Hajime Uno & Lee†Jen Wei
- 703-713 Modeling the causal effect of treatment initiation time on survival: Application to HIV/TB co†infection
by Liangyuan Hu & Joseph W. Hogan & Ann W. Mwangi & Abraham Siika
- 714-724 Modeling associations between latent event processes governing time series of pulsing hormones
by Huayu Liu & Nichole E. Carlson & Gary K. Grunwald & Alex J. Polotsky
- 725-733 Cox regression model with doubly truncated data
by Lior Rennert & Sharon X. Xie
- 734-743 A C†index for recurrent event data: Application to hospitalizations among dialysis patients
by Sehee Kim & Douglas E. Schaubel & Keith P. McCullough
- 744-752 A two†stage model for wearable device data
by Jiawei Bai & Yifei Sun & Jennifer A. Schrack & Ciprian M. Crainiceanu & Mei†Cheng Wang
- 753-763 Case†only approach to identifying markers predicting treatment effects on the relative risk scale
by James Y. Dai & C. Jason Liang & Michael LeBlanc & Ross L. Prentice & Holly Janes
- 764-766 Reader Reaction: A note on testing and estimation in marker†set association study using semiparametric quantile regression kernel machine
by Xiang Zhan & Michael C. Wu
- 767-768 Rejoinder to “A note on testing and estimation in marker†set association study using semiparametric quantile regression kernel machineâ€
by Dehan Kong & Arnab Maity & Fang†Chi Hsu & Jung†Ying Tzeng
- 769-769 TREVOR HASTIE, ROBERT TIBSHIRANI, AND MARTIN WAINWRIGHT. Statistical Learning with Sparsity: The Lasso and Generalizations. Boca Raton: CRC Press
by Ivan Kondofersky & Fabian J. Theis
- 770-770 NORMAN MATLOFF. Parallel Computing for Data Science: With Examples in R, C++, and CUDA. Boca Raton: CRC Press
by Dirk Eddelbuettel
- 771-771 JAY HERSON. Data and Safety Monitoring Committees in Clinical Trials, 2nd edition. Boca Raton: CRC Press
by Donna Pauler Ankerst
- 772-772 RICHARD M. SIMON. Genomic Clinical Trials and Predictive Medicine. Cambridge: Cambridge University Press
by Shigeyuki Matsui
- 773-773 ARDO VAN DEN HOUT. Multi†State Survival Models for Interval†Censored Data. Boca Raton: CRC Press
by Christopher Jackson
- 774-775 IAN FOSTER, RAYID GHANI, RON S. JARMIN, FRAUKE KREUTER, JULIA LANE. Big Data and Social Science: A Practical Guide to Methods and Tools. Boca Raton: CRC Press
by Elena A. Erosheva
- 775-776 CLAUDIO CARINI, SANDEEP M. MENON, AND MARK CHANG, EDS. Clinical and Statistical Considerations in Personalized Medicine. Boca Raton: CRC Press
by Ruth Pfeiffer
- 777-778 DANIEL O. STRAM. Design, Analysis, and Interpretation of Genome†Wide Association Scans. Heidelberg: Springer
by Min Zhang
- 779-780 BILL SHIPLEY. Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R, 2nd ed. United Kingdom: Cambridge University Press
by Kathryn M. Irvine
March 2018, Volume 74, Issue 1
- 8-17 Covariate selection with group lasso and doubly robust estimation of causal effects
by Brandon Koch & David M. Vock & Julian Wolfson
- 18-26 Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules
by Emily L. Butler & Eric B. Laber & Sonia M. Davis & Michael R. Kosorok
- 27-39 Evaluating principal surrogate markers in vaccine trials in the presence of multiphase sampling
by Ying Huang
- 40-48 A gatekeeping procedure to test a primary and a secondary endpoint in a group sequential design with multiple interim looks
by Ajit C. Tamhane & Jiangtao Gou & Christopher Jennison & Cyrus R. Mehta & Teresa Curto
- 49-57 Covariate†adjusted response†adaptive randomization for multi†arm clinical trials using a modified forward looking Gittins index rule
by SofÃa S. Villar & William F. Rosenberger
- 58-67 Outcome†dependent sampling with interval†censored failure time data
by Qingning Zhou & Jianwen Cai & Haibo Zhou
- 68-76 Semiparametric probit models with univariate and bivariate current†status data
by Hao Liu & Jing Qin
- 77-85 Simple and fast overidentified rank estimation for right†censored length†biased data and backward recurrence time
by Yifei Sun & Kwun Chuen Gary Chan & Jing Qin
- 86-99 A local agreement pattern measure based on hazard functions for survival outcomes
by Tian Dai & Ying Guo & Limin Peng & Amita K. Manatunga
- 100-108 A pairwise likelihood augmented Cox estimator for left†truncated data
by Fan Wu & Sehee Kim & Jing Qin & Rajiv Saran & Yi Li
- 109-117 FLCRM: Functional linear cox regression model
by Dehan Kong & Joseph G. Ibrahim & Eunjee Lee & Hongtu Zhu
- 118-126 Cox regression with dependent error in covariates
by Yijian Huang & Ching†Yun Wang
- 127-134 Functional multiple indicators, multiple causes measurement error models
by Carmen D. Tekwe & Roger S. Zoh & Fuller W. Bazer & Guoyao Wu & Raymond J. Carroll
- 135-144 Model†based bootstrapping when correcting for measurement error with application to logistic regression
by John P. Buonaccorsi & Giovanni Romeo & Magne Thoresen
- 145-154 Robust mislabel logistic regression without modeling mislabel probabilities
by Hung Hung & Zhi†Yu Jou & Su†Yun Huang
- 155-164 Computation of ancestry scores with mixed families and unrelated individuals
by Yi†Hui Zhou & James S. Marron & Fred A. Wright
- 165-175 Multiple phenotype association tests using summary statistics in genome†wide association studies
by Zhonghua Liu & Xihong Lin
- 176-184 Multivariate association analysis with somatic mutation data
by Qianchuan He & Yang Liu & Ulrike Peters & Li Hsu
- 185-195 Inferring network structure in non†normal and mixed discrete†continuous genomic data
by Anindya Bhadra & Arvind Rao & Veerabhadran Baladandayuthapani
- 196-206 Fast approximation of small p†values in permutation tests by partitioning the permutations
by Brian D. Segal & Thomas Braun & Michael R. Elliott & Hui Jiang
- 207-219 Global sensitivity analysis for repeated measures studies with informative drop†out: A semi†parametric approach
by Daniel Scharfstein & Aidan McDermott & Iván DÃaz & Marco Carone & Nicola Lunardon & Ibrahim Turkoz
- 220-228 A profile likelihood approach for longitudinal data analysis
by Ziqi Chen & Man†Lai Tang & Wei Gao
- 229-238 FPCA†based method to select optimal sampling schedules that capture between†subject variability in longitudinal studies
by Meihua Wu & Ana Diez†Roux & Trivellore E. Raghunathan & Brisa N. Sánchez
- 239-248 Model†free scoring system for risk prediction with application to hepatocellular carcinoma study
by Weining Shen & Jing Ning & Ying Yuan & Anna S. Lok & Ziding Feng
- 249-259 A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers
by Nabihah Tayob & Francesco Stingo & Kim†Anh Do & Anna S. F. Lok & Ziding Feng
- 260-269 Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time series
by Scott A. Bruce & Martica H. Hall & Daniel J. Buysse & Robert T. Krafty
- 270-279 BayesCAT: Bayesian co†estimation of alignment and tree
by Heejung Shim & Bret Larget
- 280-288 Estimating the size of an open population using sparse capture–recapture data
by Richard Huggins & Jakub Stoklosa & Cameron Roach & Paul Yip
- 289-299 Evaluating center performance in the competing risks setting: Application to outcomes of wait†listed end†stage renal disease patients
by Sai H. Dharmarajan & Douglas E. Schaubel & Rajiv Saran
- 300-312 Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information
by Sandra E. Safo & Shuzhao Li & Qi Long
- 313-320 Multi†subgroup gene screening using semi†parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma
by Shigeyuki Matsui & Hisashi Noma & Pingping Qu & Yoshio Sakai & Kota Matsui & Christoph Heuck & John Crowley
- 321-330 Estimating the probability of clonal relatedness of pairs of tumors in cancer patients
by Audrey Mauguen & Venkatraman E. Seshan & Irina Ostrovnaya & Colin B. Begg
- 331-341 Profiling the effects of short time†course cold ischemia on tumor protein phosphorylation using a Bayesian approach
by You Wu & Jeremy Gaskins & Maiying Kong & Susmita Datta
- 342-353 Spatial Bayesian latent factor regression modeling of coordinate†based meta†analysis data
by Silvia Montagna & Tor Wager & Lisa Feldman Barrett & Timothy D. Johnson & Thomas E. Nichols
- 354-361 A note on marginalization of regression parameters from mixed models of binary outcomes
by Donald Hedeker & Stephen H. C. du Toit & Hakan Demirtas & Robert D. Gibbons
- 362-368 Why you cannot transform your way out of trouble for small counts
by David I. Warton
- 369-377 On the reliability of N†mixture models for count data
by Richard J. Barker & Matthew R. Schofield & William A. Link & John R. Sauer
- 378-379 Gerhard Tutz and Matthias Schmid. Modeling Discrete Time†to†Event Data. Heidelberg, Springer
by Jan Beyersmann
- 379-379 Chul Ahn, Moonseong Heo and Song Zhang. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. Boca Raton, CRC Press
by Joel Michalek
- 379-380 Marco Scutari and Jean†Baptiste Denis. Bayesian Networks: With Examples in R. Boca Raton, CRC Press
by Prabhanjan Tattar
- 381-381 Jinqiao Duan. An Introduction to Stochastic Dynamics. New York, Cambridge University Press
by Johannes Müller
- 381-382 Alex Bottle and Paul Aylin. Statistical Methods for Healthcare Performance Monitoring. Boca Raton, CRC Press
by Christoph F. Kurz
- 382-383 Niels G. Becker. Modeling to Inform Infectious Disease Control. Boca Raton, CRC Press
by Christina Kuttler
- 383-383 Max Kuhn and Kjell Johnson. Applied Predictive Modeling. New York, Springer
by Dimitris Rizopoulos
- 383-384 Robert Elashoff, Gang Li and Ning Li. Joint Modeling of Longitudinal and Time†to†Event Data. Boca Raton, CRC Press
by Hélène Jacqmin†Gadda
December 2017, Volume 73, Issue 4
- 1071-1081 A generalized Fellner‐Schall method for smoothing parameter optimization with application to Tweedie location, scale and shape models
by Simon N. Wood & Matteo Fasiolo
- 1082-1091 Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian–Wishart processes
by Jingjing Yang & Dennis D. Cox & Jong Soo Lee & Peng Ren & Taeryon Choi
- 1092-1101 Pointwise influence matrices for functional‐response regression
by Philip T. Reiss & Lei Huang & Pei‐Shien Wu & Huaihou Chen & Stan Colcombe
- 1102-1110 Controlling the false discoveries in LASSO
by Hanwen Huang
- 1111-1122 Outcome‐adaptive lasso: Variable selection for causal inference
by Susan M. Shortreed & Ashkan Ertefaie
- 1123-1131 A general instrumental variable framework for regression analysis with outcome missing not at random
by Eric J. Tchetgen Tchetgen & Kathleen E. Wirth
- 1132-1139 Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts
by Huiming Lin & Bo Fu & Guoyou Qin & Zhongyi Zhu
- 1140-1149 Instrumental variables estimation of exposure effects on a time‐to‐event endpoint using structural cumulative survival models
by Torben Martinussen & Stijn Vansteelandt & Eric J. Tchetgen Tchetgen & David M. Zucker
- 1150-1160 Joint modeling of longitudinal, recurrent events and failure time data for survivor's population
by Qing Cai & Mei‐Cheng Wang & Kwun Chuen Gary Chan
- 1161-1168 Semiparametric estimation of the accelerated failure time model with partly interval‐censored data
by Fei Gao & Donglin Zeng & Dan‐Yu Lin
- 1169-1178 Augmented estimation for t‐year survival with censored regression models
by Yu Zheng & Tianxi Cai
- 1179-1188 Parametric modeling of quantile regression coefficient functions with censored and truncated data
by Paolo Frumento & Matteo Bottai
- 1189-1198 Modeling and analyzing respondent‐driven sampling as a counting process
by Yakir Berchenko & Jonathan D. Rosenblatt & Simon D. W. Frost
- 1199-1209 A general statistical framework for subgroup identification and comparative treatment scoring
by Shuai Chen & Lu Tian & Tianxi Cai & Menggang Yu
- 1210-1220 Weighted pseudolikelihood for SNP set analysis with multiple secondary outcomes in case‐control genetic association studies
by Tamar Sofer & Elizabeth D. Schifano & David C. Christiani & Xihong Lin
- 1221-1230 Learning gene regulatory networks from next generation sequencing data
by Bochao Jia & Suwa Xu & Guanghua Xiao & Vishal Lamba & Faming Liang
- 1231-1242 Estimating time‐varying directed gene regulation networks
by Yunlong Nie & LiangLiang Wang & Jiguo Cao
- 1243-1253 Groupwise envelope models for imaging genetic analysis
by Yeonhee Park & Zhihua Su & Hongtu Zhu
- 1254-1265 Analysis of multiple diverse phenotypes via semiparametric canonical correlation analysis
by Denis Agniel & Tianxi Cai
- 1266-1278 A model for paired‐multinomial data and its application to analysis of data on a taxonomic tree
by Pixu Shi & Hongzhe Li
- 1279-1288 Nonparametric Bayesian covariate‐adjusted estimation of the Youden index
by Vanda Inácio de Carvalho & Miguel de Carvalho & Adam J. Branscum
- 1289-1299 Design and monitoring of multi‐arm multi‐stage clinical trials
by Pranab Ghosh & Lingyun Liu & P. Senchaudhuri & Ping Gao & Cyrus Mehta
- 1300-1310 Simulation‐based hypothesis testing of high dimensional means under covariance heterogeneity
by Jinyuan Chang & Chao Zheng & Wen‐Xin Zhou & Wen Zhou
- 1311-1320 Second‐order quasi‐likelihood for spatial point processes
by Chong Deng & Yongtao Guan & Rasmus P. Waagepetersen & Jingfei Zhang
- 1321-1331 Hidden Markov models for extended batch data
by Laura L. E. Cowen & Panagiotis Besbeas & Byron J. T. Morgan & Carl J. Schwarz
- 1332-1342 Stagewise generalized estimating equations with grouped variables
by Gregory Vaughan & Robert Aseltine & Kun Chen & Jun Yan
- 1343-1354 Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression
by Huaihou Chen & Donglin Zeng & Yuanjia Wang
- 1355-1365 Bayesian population finding with biomarkers in a randomized clinical trial
by Satoshi Morita & Peter Müller
- 1366-1378 A simple correction to completer analyses and improvement on baseline observation carried forward
by David Petroff
- 1379-1387 On the multiple imputation variance estimator for control‐based and delta‐adjusted pattern mixture models
by Yongqiang Tang
- 1388-1400 Parametric overdispersed frailty models for current status data
by Steven Abrams & Marc Aerts & Geert Molenberghs & Niel Hens
- 1401-1412 Accelerated failure time models for semi‐competing risks data in the presence of complex censoring
by Kyu Ha Lee & Virginie Rondeau & Sebastien Haneuse
- 1413-1423 Joint modeling of zero‐inflated panel count and severity outcomes
by E. Juarez‐Colunga & G. L. Silva & C. B. Dean
- 1424-1432 Sensitivity analysis for matched pair analysis of binary data: From worst case to average case analysis
by Raiden Hasegawa & Dylan Small
- 1433-1442 Incorporating covariates into integrated factor analysis of multi‐view data
by Gen Li & Sungkyu Jung
- 1443-1452 Bayesian regression for group testing data
by Christopher S. McMahan & Joshua M. Tebbs & Timothy E. Hanson & Christopher R. Bilder
- 1453-1463 A fast small‐sample kernel independence test for microbiome community‐level association analysis
by Xiang Zhan & Anna Plantinga & Ni Zhao & Michael C. Wu
- 1464-1465 BRADLEY EFRON AND TREVOR HASTIE. Computer Age Statistical Inference. Cambridge: Cambridge University Press
by Jeremy M. G. Taylor
- 1465-1466 JULIAN J. FARAWAY. Extending the Linear Model with R: Generalized Linear, Mixed Effects, and Nonparametric Regression Models, 2nd edition. Boca Raton: CRC Press
by Andrzej Galecki
- 1466-1467 YIN BUN CHEUNG. Statistical Analysis of Human Growth and Development. Boca Raton: CRC Press
by Johanna Straubinger
- 1467-1468 C. D. COMBS, JOHN A. SOKOLOWSKI and CATHERINE M. BANKS. The Digital Patient: Advancing Healthcare, Research, and Education. Hoboken: Wiley. CHANDAN K. REDDY and CHARU C. AGGARWAL. Healthcare Data Analytics. Boca Raton: CRC Press
by Ulrich Mansmann
- 1468-1468 STEPHEN W. LOONEY and JOSEPH L. HAGAN. Analysis of Biomarker Data: A Practical Guide. Hoboken: Wiley
by Holly Janes
- 1468-1469 RICHARD M. HEIBERGER and BURT HOLLAND. Statistical Analysis and Data Display. Heidelberg: Springer
by Martin Goros
- 1469-1469 SIMON MUNZERT, CHRISTIAN RUBBA, PETER MEISSNER, and DOMINIC NYHUIS. Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. Hoboken: Wiley
by Katharina Selig
- 1470-1470 KEN KLEINMAN and NICHOLAS J. HORTON. SAS and R: Data Management, Statistical Analysis, and Graphics. Boca Raton: CRC Press
by Xulei Liu
September 2017, Volume 73, Issue 3
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