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December 2019, Volume 75, Issue 4
- 1253-1263 Using a surrogate marker for early testing of a treatment effect
by Layla Parast & Tianxi Cai & Lu Tian
- 1264-1275 Dynamic regression with recurrent events
by J. E. Soh & Yijian Huang
- 1276-1287 On null hypotheses in survival analysis
by Mats J. Stensrud & Kjetil Røysland & Pål C. Ryalen
- 1288-1298 Fast Bayesian inference in large Gaussian graphical models
by Gwenaël G. R. Leday & Sylvia Richardson
- 1299-1309 Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages
by Joanne C. Beer & Howard J. Aizenstein & Stewart J. Anderson & Robert T. Krafty
- 1310-1320 Autologistic network model on binary data for disease progression study
by Yei Eun Shin & Huiyan Sang & Dawei Liu & Toby A. Ferguson & Peter X. K. Song
- 1321-1333 Integer‐valued functional data analysis for measles forecasting
by Daniel R. Kowal
- 1334-1344 Truncated Simes tests
by John Lawrence
- 1345-1355 Open population maximum likelihood spatial capture‐recapture
by Richard Glennie & David L. Borchers & Matthew Murchie & Bart J. Harmsen & Rebecca J. Foster
- 1356-1366 Quantifying personal exposure to air pollution from smartphone‐based location data
by Francesco Finazzi & Lucia Paci
- 1367-1379 Assessing alignment between functional markers and ordinal outcomes based on broad sense agreement
by Jeong Hoon Jang & Limin Peng & Amita K. Manatunga
- 1380-1390 Directional penalties for optimal matching in observational studies
by Ruoqi Yu & Paul R. Rosenbaum
- 1391-1400 Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions
by Bingkai Wang & Elizabeth L. Ogburn & Michael Rosenblum
- 1401-1413 Improved detection of epigenomic marks with mixed‐effects hidden Markov models
by Pedro L. Baldoni & Naim U. Rashid & Joseph G. Ibrahim
- 1414-1414 Spatio‐temporal statistics with R, Christopher K. Wikle, Andrew Zammit‐Mangion, Noel Cressie, Boca Raton, FL: CRC Press, 2019
by Adam Peterson
- 1414-1415 Bayesian inference for stochastic processes, Lyle D Broemeling, Boca Raton: CRC Press
by Gabriel Isheden
- 1415-1416 Textual data science with R, Mónica Bécue‐Bertaut, Boca Raton: CRC Press
by Brisa N. Sánchez
- 1416-1417 The statistical analysis of multivariate failure time data: A marginal modeling approach, Ross L. Prentice, Shanshan Zhao, Boca Raton, FL: CRC Press
by D. Y. Lin
September 2019, Volume 75, Issue 3
June 2019, Volume 75, Issue 2
- 371-381 A hybrid phase I‐II/III clinical trial design allowing dose re‐optimization in phase III
by Andrew G. Chapple & Peter F. Thall
- 382-384 Discussion of “A Hybrid Phase I‐II/III Clinical Trial Design Allowing Dose Re‐Optimization in Phase III” by Andrew G. Chapple and Peter F. Thall
by Eric S. Leifer & Nancy L. Geller
- 385-388 Discussion of “A hybrid phase I‐II/III clinical trial design allowing dose re‐optimization in phase III” by Andrew G. Chapple and Peter F. Thall
by Tianjian Zhou & Yuan Ji
- 389-391 Rejoinder to “A hybrid phase I‐II/III clinical trial design allowing dose reoptimization in phase III”
by Andrew G. Chapple & Peter F. Thall
- 392-403 Model confidence bounds for variable selection
by Yang Li & Yuetian Luo & Davide Ferrari & Xiaonan Hu & Yichen Qin
- 404-406 Discussion on “Model Confidence Bounds for Variable Selection” by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
by Gerda Claeskens & Maarten Jansen
- 407-410 Discussion on “Model confidence bounds for variable selection” by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
by Hannes Leeb & Benedikt M. Pötscher & Danijel Kivaranovic
- 411-413 Rejoinder to Discussions on: Model confidence bounds for variable selection
by Yang Li & Yuetian Luo & Davide Ferrari & Xiaonan Hu & Yichen Qin
- 414-427 A modified partial likelihood score method for Cox regression with covariate error under the internal validation design
by David M. Zucker & Xin Zhou & Xiaomei Liao & Yi Li & Donna Spiegelman
- 428-438 Estimations of the joint distribution of failure time and failure type with dependent truncation
by Yu‐Jen Cheng & Mei‐Cheng Wang & Chang‐Yu Tsai
- 439-451 Dependence modeling for recurrent event times subject to right‐censoring with D‐vine copulas
by Nicole Barthel & Candida Geerdens & Claudia Czado & Paul Janssen
- 452-462 The single‐index/Cox mixture cure model
by Maïlis Amico & Ingrid Van Keilegom & Catherine Legrand
- 463-474 Distribution‐free estimation of local growth rates around interval censored anchoring events
by Chenghao Chu & Ying Zhang & Wanzhu Tu
- 475-484 Exact inference for integrated population modelling
by P. Besbeas & B.J.T. Morgan
- 485-493 Exact inference on the random‐effects model for meta‐analyses with few studies
by Haben Michael & Suzanne Thornton & Minge Xie & Lu Tian
- 494-505 Nonparametric group sequential methods for evaluating survival benefit from multiple short‐term follow‐up windows
by Meng Xia & Susan Murray & Nabihah Tayob
- 506-515 Causal inference accounting for unobserved confounding after outcome regression and doubly robust estimation
by Minna Genbäck & Xavier de Luna
- 516-527 Instrumental variable based estimation under the semiparametric accelerated failure time model
by Jared D. Huling & Menggang Yu & A. James O'Malley
- 528-538 Semiparametric Bayesian latent variable regression for skewed multivariate data
by Apurva Bhingare & Debajyoti Sinha & Debdeep Pati & Dipankar Bandyopadhyay & Stuart R. Lipsitz
- 539-550 A Bayesian semiparametric approach to correlated ROC surfaces with stochastic order constraints
by Zhen Chen & Beom Seuk Hwang
- 551-561 Drawing inferences for high‐dimensional linear models: A selection‐assisted partial regression and smoothing approach
by Zhe Fei & Ji Zhu & Moulinath Banerjee & Yi Li
- 562-571 A smoothing‐based goodness‐of‐fit test of covariance for functional data
by Stephanie T. Chen & Luo Xiao & Ana‐Maria Staicu
- 572-581 Optimal design of multiple‐objective Lot Quality Assurance Sampling (LQAS) plans
by Belmiro P.M. Duarte & Weng Kee Wong
- 582-592 Linked matrix factorization
by Michael J. O'Connell & Eric F. Lock
- 593-602 Integrative multi‐view regression: Bridging group‐sparse and low‐rank models
by Gen Li & Xiaokang Liu & Kun Chen
- 603-612 Convex clustering analysis for histogram‐valued data
by Cheolwoo Park & Hosik Choi & Chris Delcher & Yanning Wang & Young Joo Yoon
- 613-624 Log‐ratio lasso: Scalable, sparse estimation for log‐ratio models
by Stephen Bates & Robert Tibshirani
- 625-637 Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect
by Ni Zhao & Haoyu Zhang & Jennifer J. Clark & Arnab Maity & Michael C. Wu
- 638-649 A non‐randomized procedure for large‐scale heterogeneous multiple discrete testing based on randomized tests
by Xiaoyu Dai & Nan Lin & Daofeng Li & Ting Wang
- 650-662 A robust removing unwanted variation–testing procedure via γ‐divergence
by Hung Hung
- 663-673 A Bayesian hidden Markov model for detecting differentially methylated regions
by Tieming Ji
- 674-684 Bagging and deep learning in optimal individualized treatment rules
by Xinlei Mi & Fei Zou & Ruoqing Zhu
- 685-694 Generalizing causal inferences from individuals in randomized trials to all trial‐eligible individuals
by Issa J. Dahabreh & Sarah E. Robertson & Eric J. Tchetgen & Elizabeth A. Stuart & Miguel A. Hernán
- 695-707 Causal comparative effectiveness analysis of dynamic continuous‐time treatment initiation rules with sparsely measured outcomes and death
by Liangyuan Hu & Joseph W. Hogan
- 708-709 Causal inference in statistics: A primer. Judea Pearl, Maria Glymour, and Nicholas Jewell, John Wiley & Sons, Ltd., Chichester, UK
by Joseph W. Hogan
- 710-711 Quantitative methods for HIV/AIDS research Cliburn Chan, Michael G. Hudgens, Shein‐Chung Chow, CRC Press
by W. Scott Comulada
- 712-712 Biostatistics for clinical and public health researchMelody S. Goodman (Ed.), New York: Routledge
by Nuha Mahmood
- 713-714 Errors, Blunders, and Lies: How to Tell the Difference. David S. Salsburg, Boca Raton: Chapman & Hall/ASA‐CRC Series
by Yi Xu & David Banks
- 715-716 Hidden Markov Models for Time Series: An Introduction Using R. Walter Zucchini, Iain L. McDonald, and Roland Langrock, Boca Raton, CRC Press
by Toby Patterson
- 717-717 State Space Methods for Time Series Analysis: Theory, Applications And Software. Jose Casals, Alfredo Garica‐Hiernaux, Miguel Jerez, Sonia Sotoca, and A. Alexandre Trindade, Boca Raton: CRC Press
by Nalini Ravishanker
March 2019, Volume 75, Issue 1
December 2018, Volume 74, Issue 4
- 1141-1149 Model assisted sensitivity analyses for hidden bias with binary outcomes
by Giovanni Nattino & Bo Lu
- 1150-1160 Sensitivity analysis and power for instrumental variable studies
by Xuran Wang & Yang Jiang & Nancy R. Zhang & Dylan S. Small
- 1161-1170 A powerful approach to the study of moderate effect modification in observational studies
by Kwonsang Lee & Dylan S. Small & Paul R. Rosenbaum
- 1171-1179 Doubly robust matching estimators for high dimensional confounding adjustment
by Joseph Antonelli & Matthew Cefalu & Nathan Palmer & Denis Agniel
- 1180-1192 Optimal two‐stage dynamic treatment regimes from a classification perspective with censored survival data
by Rebecca Hager & Anastasios A. Tsiatis & Marie Davidian
- 1193-1202 Bayesian nonparametric generative models for causal inference with missing at random covariates
by Jason Roy & Kirsten J. Lum & Bret Zeldow & Jordan D. Dworkin & Vincent Lo Re & Michael J. Daniels
- 1203-1212 Nonparametric estimation of transition probabilities for a general progressive multi‐state model under cross‐sectional sampling
by Jacobo de Uña‐Álvarez & Micha Mandel
- 1213-1222 Semiparametric regression analysis of interval‐censored data with informative dropout
by Fei Gao & Donglin Zeng & Dan‐Yu Lin
- 1223-1231 Pseudo and conditional score approach to joint analysis of current count and current status data
by Chi‐Chung Wen & Yi‐Hau Chen
- 1232-1239 Using survival information in truncation by death problems without the monotonicity assumption
by Fan Yang & Peng Ding
- 1240-1249 A partially linear proportional hazards model for current status data
by Minggen Lu & Christopher S. McMahan
- 1250-1260 Analysis of multiple survival events in generalized case‐cohort designs
by Soyoung Kim & Donglin Zeng & Jianwen Cai
- 1261-1270 Threshold regression to accommodate a censored covariate
by Jing Qian & Sy Han Chiou & Jacqueline E. Maye & Folefac Atem & Keith A. Johnson & Rebecca A. Betensky
- 1271-1281 Estimation of the optimal surrogate based on a randomized trial
by Brenda L. Price & Peter B. Gilbert & Mark J. van der Laan
- 1282-1291 New robust statistical procedures for the polytomous logistic regression models
by Elena Castilla & Abhik Ghosh & Nirian Martin & Leandro Pardo
- 1292-1300 A robust approach to sample size calculation in cancer immunotherapy trials with delayed treatment effect
by Ting Ye & Menggang Yu
- 1301-1310 Exponential Family Functional data analysis via a low‐rank model
by Gen Li & Jianhua Z. Huang & Haipeng Shen
- 1311-1319 Order selection and sparsity in latent variable models via the ordered factor LASSO
by Francis K. C. Hui & Emi Tanaka & David I. Warton
- 1320-1330 Bayesian optimal interval design with multiple toxicity constraints
by Ruitao Lin
- 1331-1340 Convex mixture regression for quantitative risk assessment
by Antonio Canale & Daniele Durante & David B. Dunson
- 1341-1350 Identifying disease‐associated copy number variations by a doubly penalized regression model
by Yichen Cheng & James Y. Dai & Xiaoyu Wang & Charles Kooperberg
- 1351-1361 Detection of multiple perturbations in multi‐omics biological networks
by Paula J. Griffin & Yuqing Zhang & William Evan Johnson & Eric D. Kolaczyk
- 1362-1371 Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data
by Sandra E. Safo & Jeongyoun Ahn & Yongho Jeon & Sungkyu Jung
- 1372-1382 Scalable Bayesian variable selection for structured high‐dimensional data
by Changgee Chang & Suprateek Kundu & Qi Long
- 1383-1394 Time‐dynamic profiling with application to hospital readmission among patients on dialysis
by Jason P. Estes & Danh V. Nguyen & Yanjun Chen & Lorien S. Dalrymple & Connie M. Rhee & Kamyar Kalantar‐Zadeh & Damla Şentürk
- 1395-1397 Discussion on “Time‐dynamic profiling with application to hospital readmission among patients on dialysis,” by Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh, and Damla Senturk
by Sebastien Haneuse & José Zubizarreta & Sharon‐Lise T. Normand
- 1398-1400 Discussion on “Time‐dynamic profiling with application to hospital readmission among patients on dialysis,” by Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh, and Damla Senturk
by Els Goetghebeur
- 1401-1403 Discussion on “Time‐dynamic profiling with application to hospital readmission among patients on dialysis,” by Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh, and Damla Senturk
by John D. Kalbfleisch & Kevin He
- 1404-1406 Rejoinder: Time‐dynamic profiling with application to hospital readmission among patients on dialysis
by Jason P. Estes & Danh V. Nguyen & Yanjun Chen & Lorien S. Dalrymple & Connie M. Rhee & Kamyar Kalantar‐Zadeh & Damla Şentürk
- 1407-1416 Estimating the causal effect of treatment regimes for organ transplantation
by Jeffrey A. Boatman & David M. Vock
- 1417-1426 Varying‐coefficient semiparametric model averaging prediction
by Jialiang Li & Xiaochao Xia & Weng Kee Wong & David Nott
- 1427-1437 Semi‐parametric methods of handling missing data in mortal cohorts under non‐ignorable missingness
by Lan Wen & Shaun R. Seaman
- 1438-1449 Multiple imputation of missing data in nested case‐control and case‐cohort studies
by Ruth H. Keogh & Shaun R. Seaman & Jonathan W. Bartlett & Angela M. Wood
- 1450-1458 Sample size determination for GEE analyses of stepped wedge cluster randomized trials
by Fan Li & Elizabeth L. Turner & John S. Preisser
- 1459-1467 Power and sample size calculation incorporating misspecifications of the variance function in comparative clinical trials with over‐dispersed count data
by Masataka Igeta & Kunihiko Takahashi & Shigeyuki Matsui
- 1468-1481 On the analysis of discrete time competing risks data
by Minjung Lee & Eric J. Feuer & Jason P. Fine
- 1482-1491 Mean residual life regression with functional principal component analysis on longitudinal data for dynamic prediction
by Xiao Lin & Tao Lu & Fangrong Yan & Ruosha Li & Xuelin Huang
- 1492-1501 A boxplot for circular data
by Davide Buttarazzi & Giuseppe Pandolfo & Giovanni C. Porzio
- 1502-1511 Physical activity classification with dynamic discriminative methods
by Evan L. Ray & Jeffer E. Sasaki & Patty S. Freedson & John Staudenmayer
- 1512-1518 An asymptotic approximation to the N‐mixture model for the estimation of disease prevalence
by Ben Brintz & Claudio Fuentes & Lisa Madsen
- 1519-1520 Pawel Cichosz. Data Mining Algorithms explained using R. Hoboken, Wiley
by Sumanta Basu
- 1520-1521 Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman. Mining of Massive Datasets. Cambridge, Cambridge University Press
by Lothar Richter
- 1521-1523 Rory Allen. Statistics and Experimental Design for Psychologists. Singapore, World Scientific Publishing Co Pte Ltd
by Geoff Bird
- 1523-1523 Wiechung Joe Shih and Joseph Aisner. Statistical Design and Analysis of Clinical Trials: Principles and Methods. Boca Raton, CRC Press
by Hui Gu
- 1524-1525 Christophe Giraud. Introduction to High‐Dimensional Statistics. Boca Raton, CRC Press
by Katharina Parry & Matthieu Vignes
- 1525-1526 Vance Berger. Randomization, Masking, and Allocation Concealment. CRC Press
by Yiyao Chen
September 2018, Volume 74, Issue 3
Printed from https://ideas.repec.org/s/bla/biomet5.html
