Papers to Appear in Biometrics

Vol. 74, No. 3
September 2018



Quantifying publication bias in meta-analysis
Lifeng Lin and Haitao Chu

Discussion on "Quantifying publication bias in meta-analysis"
Dan Jackson

Discussion on "Quantifying publication bias in meta-analysis"
Christopher H. Schmid

Discussion on "Quantifying publication bias in meta-analysis"
Nancy Geller

Rejoinder to "Quantifying publication bias in meta-analysis"
Lifeng Lin and Haitao Chu

A regression framework for assessing covariate effects on the reproducibility of high-throughput experiments
Qunhua Li and Feipeng Zhang

Subtype classification and heterogeneous prognosis model construction in precision medicine
Na You, Shun He, Xueqin Wang, Junxian Zhu, and Heping Zhang

A scalable multi-resolution spatio-temporal model for brain activation in fMRI data
Stefano Castruccio, Hernando Hombao, and Marc G. Genton

MILFM: Multiple Index Latent Factor Model based on high-dimensional features
Hojin Yang, Hongtu Zhu, and Joseph G. Ibrahim

A statistical model for helices with applications
Kanti V. Mardia, Karthik Sriram, and Charlotte M. Deane

Statistical inference in a growth curve quantile regression model for longitudinal data
Hyunkeun Ryan Cho

Toward a diagnostic toolkit for linear models with Gaussian-process distributed random effects
Maitreyee Bose, James S. Hodges, and Sudipto Banerjee

Dynamic borrowing through empirical power priors that control type I error
Stavros Nikolakopoulos, Ingeborg van der Tweel, and Kit C. B. Roes

General single-index survival regression models for incident and prevalent covariate data and prevalent data without follow-up
Shih-Wei Chen and Chin-Tsang Chiang

C-learning: a new classification framework to estimate optimal dynamic treatment regimes
Baqun Zhang and Min Zhang

Modeling survival distribution as a function of time to treatment discontinuation: a dynamic treatment regime approach
Shu Yang, Anastasios A. Tsiatis, and Michael Blazing

An alternative robust estimator of average treatment effect in causal inference
Jianxuan Liu, Yanyuan Ma, and Lan Wang

Estimating individualized treatment rules for ordinal treatments
Jingxiang Chen, Haoda Fu, Xuanyao He, Michael R. Kosorok, and Yufeng Liu

Model selection for semiparametric marginal mean regression accounting for within-cluster subsampling variability and informative cluster size
Chung-Wei Shen and Yi-Hau Chen

Semiparametric estimation of the accelerated mean model with panel count data under informative examination times
Sy Han Chiou, Gongjun Xu, Jun Yan, and Chiung-Yu Huang

Generalized accelerated recurrence time model for multivariate recurrent event data with missing event type
Huijuan Ma, Limin Peng, Zhumin Zhang, and HuiChuan J. Lai

Methods for multivariate recurrent event data with measurement error and informative censoring
Hsiang Yu, Yu-Jen Cheng, and Ching-Yun Wang

A wild bootstrap approach for the Aalen-Johansen estimator
T. Bluhmki, C. Schmoor, D. Dobler, M. Pauly, J. Finke, M. Schumacher, and J. Beyersmann

A Bayesian nonparametric approach to causal inference on quantiles
Dandan Xu, Michael J. Daniels, and Almut G. Winterstein

A D-vine copula based model for repeated measurements extending linear mixed models with homogeneous correlation structure
Matthias Killiches and Claudia Czado

A group sequential test for treatment effect based on the Fine-Gray model
Michael J. Martens and Brent R. Logan

Regression analysis for secondary response variable in a case-cohort study
Yinghao Pan, Jianwen Cai, Sangmi Kim, and Haibo Zhou

Sieve analysis using the number of infecting pathogens
Dean Follmann and Chiung-Yu Huang

Model-averaged confounder adjustment for estimating multivariate exposure effects with linear regression
Ander Wilson, Corwin M. Zigler, Chirag J. Patel, and Francesca Dominici

Regularized continuous-time Markov model via elastic net
Shuang Huang, Chengcheng Hu, Melanie L. Bell, Dean Billheimer, Stefano Guerra, Denise Roe, Monica M. Vasquez, and Edward J. Bedrick


Bayesian enhancement two-stage design for single-arm Phase II clinical trials with binary and time-to-event endpoints
Haolun Shi and Guosheng Yin

Motivating sample sizes in adaptive phase I trials via Bayesian posterior credible intervals
Thomas M. Braun

Detecting treatment differences in group sequential longitudinal studies with covariate adjustment
Neal O. Jeffries, James F. Troendle, and Nancy L. Geller

A multi-source adaptive platform design for testing sequential combinatorial therapeutic strategies
Alexander M. Kaizer, Brian P. Hobbs, and Joseph S. Koopmeiners

A utility-based design for randomized comparative trials with ordinal outcomes and prognostic subgroups
Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, and Wayne L. Hofstetter

New semiparametric method for predicting high-cost patients
Adam Maidman and Lan Wang

An approximate joint model for multiple paired longitudinal outcomes and time-to-event data
Angelo F. Elmi


On the fast small-sample kernel independence test for microbiome community-level association analysis
Bin Guo and Baolin Wu


Papers to appear in future issues of Biometrics

Time-dynamic profiling with application to hospital readmission among patients on dialysis
Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar-Zadeh, and Damla Senturk

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
Sebastien Haneuse, Jose Zubizarreta, and Sharon-Lise T. Normand

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
John D. Kalbfleisch and Kevin He

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
Els Goetghebeur

Rejoinder to "Time-dynamic profiling with application to hospital readmission among patients on dialysis"
Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar-Zadeh, and Damla Senturk

Nonparametric estimation of transition probabilities for a general progressive multi-state model under cross-sectional sampling
Jacobo de Una-Alvarez and Micha Mandel

Sensitivity analysis and power for instrumental variable studies
Xuran Wang, Yang Jiang, Nancy R. Zhang, and Dylan S. Small

Bayesian nonparametric generative models for causal inference with missing at random covariates
Jason Roy, Kirsten J. Lum, Bret Zeldow, Jordan D. Dworkin, Vincent Lo Re III, and Michael J. Daniels

Power and sample size calculation incorporating misspecifications of the variance function in comparative clinical trials with over-dispersed count data
Masataka Igeta, Kunihiko Takahashi, and Shigeyuki Matsui

Estimation of the optimal surrogate based on a randomized trial
Brenda L. Price, Peter B. Gilbert, and Mark J. van der Laan

Scalable Bayesian variable selection for structured high-dimensional data
C. Chang, S. Kundu, and Q. Long

Mean residual life regression with functional principal component analysis on longitudinal data for dynamic prediction
Xiao Lin, Tao Lu, Fangrong Yan, Ruosha Li, and Xuelin Huang

Pseudo and conditional score approach to joint analysis of current count and current status data
Chi-Chung Wen and Yi-Hau Chen

Multiple robust estimation of marginal structural mean models for unconstrained outcomes
Lucia Babino, Andrea Rotnitzky, and James Robins

Using survival information in truncation by death problems without the monotonicity assumption
Fan Yang and Peng Ding

On the analysis of discrete time competing risks data
Minjung Lee, Eric J. Feuer, and Jason P. Fine

A powerful approach to the study of moderate effect modification in observational studies
Kwonsang Lee, Dylan S. Small, and Paul R. Rosenbaum

Exponential family functional data analysis via a low-rank model
Gen Li, Jianhua Z. Huang, and Haipeng Shen

Order selection and sparsity in latent variable models via the ordered factor LASSO
Francis K. C. Hui, Emi Tanaka, and David I. Warton

Physical activity classification with dynamic discriminative methods
Evan L. Ray, Jeffer E. Sasaki, Patty S. Freedson, and John Staudenmayer

Doubly robust matching estimators for high dimensional confounding adjustment
Joseph Antonelli, Matthew Cefalu, Nathan Palmer, and Denis Agniel

A boxplot for circular data
Davide Buttarazzi, Giuseppe Pandolfo, and Giovanni C. Porzio

Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data
Sandra E. Safo, Jeongyoun Ahn, Yongho Jeon, and Sungkyu Jung

New robust statistical procedures for the polytomous logistic regression models
Elena Castilla, Abhik Ghosh, Nirian Martin, and Leandro Pardo

Semiparametric regression analysis of interval-censored data with informative dropout
Fei Gao, Donglin Zeng, and D. Y. Lin

Varying-coefficient semiparametric model averaging prediction
Jialiang Li, Xiaochao Xia, Weng Kee Wong, and David Nott

Detection of multiple perturbations in multi-omics biological networks
Paula J. Griffin, Yuqing Zhang, W. Evan Johnson, and Eric D. Kolaczyk

Semi-parametric methods of handling missing data in mortal cohorts under non-ignorable missingness
Lan Wen and Shaun R. Seaman

Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data
Rebecca Hager, Anastasios A. Tsiatis, and Marie Davidian

Multiple imputation of missing data in nested case-control and case-cohort studies
Ruth H. Keogh, Shaun R. Seaman, Jonathan W. Bartlett, and Angela M. Wood

Bayesian optimal interval design with multiple toxicity constraints
Ruitao Lin

An asymptotic approximation to the N-mixture model for the estimation of disease prevalence
Ben Brintz, Claudio Fuentes, and Lisa Madsen

Convex mixture regression for quantitative risk assessment
Antonio Canale, Daniele Durante, and David B. Dunson

A robust approach to sample size calculation in cancer immunotherapy trials with delayed treatment effect
Ting Ye and Menggang Yu

On the alternative hypotheses for the win ratio
Lu Mao

Rejoinder to "On the alternative hypotheses for the win ratio"
Xiaodong Luo, Hong Tian, Surya Mohanty, and Wei Yann Tsai

A partially linear proportional hazards model for current status data
Minggen Lu and Christopher S. McMahan

Estimating the causal effect of treatment regimes for organ transplantation
Jeffrey A. Boatman and David M. Vock

Sample size determination for GEE analyses of stepped wedge cluster randomized trials
Fan Li, Elizabeth L. Turner, and John S. Preisser

Threshold regression to accommodate a censored covariate
Jing Qian, Sy Han Chiou, Jacqueline E. Maye, Folefac Atem, Keith A. Johnson and Rebecca A. Betensky

Identifying disease-associated copy number variations by a doubly penalized regression model
Yichen Cheng, James Y. Dai, Xiaoyu Wang, and Charles Kooperberg

A hybrid Phase I-II/III clinical trial design allowing dose re-optimization in Phase III
Andrew G. Chapple and Peter F. Thall

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
Eric S. Leifer and Nancy L. Geller

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
Tianjian Zhou and Yuan Ji

Rejoinder to "A hybrid Phase I-II/III clinical trial design allowing dose re-optimization in Phase III"
Andrew G. Chapple and Peter F. Thall

Model assisted sensitivity analyses for hidden bias with binary outcomes
Giovanni Nattino and Bo Lu

Model confidence bounds for variable selection
Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin

On doubly robust estimation of the hazard difference
Oliver Dukes, Torben Martinussen, Eric J. Tchetgen Tchetgen, and Stijn Vansteelandt

Analysis of multiple survival events in generalized case-cohort designs
Soyoung Kim, Donglin Zeng, and Jianwen Cai

Sufficient dimension reduction via random-partitions for the large-p-small-n problem
Hung Hung and Su-Yun Huang

Joint skeleton estimation of multiple directed acyclic graphs for heterogeneous population
Jianyu Liu, Wei Sun, and Yufeng Liu

A useful design utilizing the information fraction in a group sequential clinical trial with censored survival data
Chih-Yuan Hsu, Chen-Hsin Chen, Ken-Ning Hsu, and Ya-Hung Lu

Double robust estimation for multiple unordered treatments and clustered observations: Evaluating drug-eluting coronary artery stents
Sherri Rose and Sharon-Lise Normand

Bayesian additive adaptive basis tensor product models for modeling high dimensional surfaces: An application to high-throughput toxicity testing
Matthew W. Wheeler

Generalized linear models with linear constraints for microbiome compositional data
Jiarui Lu, Pixu Shi, and Hongzhe Li

Personalized schedules for surveillance of low-risk prostate cancer patients
Anirudh Tomer, Daan Nieboer, Monique J. Roobol, Ewout W. Steyerberg, and Dimitris Rizopoulos

Logistic regression augmented community detection for network data with application in identifying autism-related gene pathways
Yunpeng Zhao, Qing Pan, and Chengan Du

Instrumental variable estimation in semi-parametric additive hazards models
Matthias Brueckner, Andrew Titman, and Thomas Jaki

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data
Qiwei Li, Alberto Cassese, Michele Guindani, and Marina Vannucci

Removal models accounting for temporary emigration
Ming Zhou, Rachel S. McCrea, Eleni Matechou, Diana J. Cole, and Richard A. Griffiths

Bayesian inference of hub nodes across multiple networks
Junghi Kim, Kim-Anh Do, Min Jin Ha, and Christine B. Peterson

Marginal screening of 2 x 2 tables in large-scale case-control studies
Ian W. McKeague and Min Qian

Flexible parametric approach to classical measurement error variance estimation without auxiliary data
Aurelie Bertrand, Ingrid Van Keilegom, Catherine Legrand

Information content of cluster-period cells in stepped wedge trials
Jessica Kasza and Andrew Forbes

Registration for exponential family functional data
Julia Wrobel, Vadim Zipunnikov, Jennifer Schrack, and Jeff Goldsmith

Regularized latent class model for joint analysis of high dimensional longitudinal biomarkers and a time-to-event outcome
Jiehuan Sun, Jose D. Herazo-Maya, Philip L. Molyneaux, Toby M. Maher, Naftali Kaminski, and Hongyu Zhao

A hidden Markov model for identifying differentially methylated sites in bisulfite sequencing data
Farhad Shokoohi, David A. Stephens, Guillaume Bourque, Tomi Pastinen, Celia M.T. Greenwood, and Aurelie Labbe

Multi-study factor analysis
Roberta De Vito, Ruggero Bellio, Lorenzo Trippa, and Giovanni Parmigiani

A novel Bayesian multiple testing approach to deregulated miRNA discovery harnessing positional clustering
Noirrit Kiran Chandra, Richa Singh, and Sourabh Bhattacharya

Power and sample size for dose-finding studies with survival endpoints under model uncertainty
Qiqi Deng, Xiaofei Bai, Dacheng Liu, Dooti Roy, Zhiliang Ying and Dan-Yu Lin

On assessing binary regression models based on ungrouped data
Chunling Lu and Yuhong Yang

A Bayesian multi-dimensional couple-based latent risk model with an application to infertility
Beom Seuk Hwang, Zhen Chen, Germaine M. Buck Louis, and Paul S. Albert

Semiparametric regression analysis of length-biased interval-censored data
Fei Gao and Kwun Chuen Gary Chan

Semi-supervised validation of multiple surrogate outcomes with application to electronic medical records phenotyping
Chuan Hong, Katherine P. Liao, and Tianxi Cai

Diagonal likelihood ratio test for equality of mean vectors in high-dimensional data
Zongliang Hu, Tiejun Tong, and Marc G. Genton

Adaptive elastic net for group testing
Karl B. Gregory, Dewei Wang, and Christopher S. McMahan

A Bayesian hidden Markov model for detecting differentially methylated regions
Tieming Ji

Cluster capture-recapture to account for identification uncertainty on aerial surveys of animal populations
Ben C. Stevenson, David L. Borchers, and Rachel M. Fewster

Automated feature selection of predictors in electronic medical records data
Jessica Gronsbell, Jessica Minnier, Sheng Yu, Katherine Liao, and Tianxi Cai

Semiparametric Bayesian Latent Variable Regression for Skewed Multivariate Data
Apurva Bhingare, Debajyoti Sinha, Debdeep Pati, Dipankar Bandyopadhyay, and Stuart R. Lipsitz

Longitudinal and time-to-drop-out joint models can lead to seriously biased estimates when the drop-out mechanism is at random
Christos Thomadakis, Loukia Meligkotsidou, Nikos Pantazis, and Giota Touloumi

Informative group testing for multiplex assays
Christopher R. Bilder, Joshua M. Tebbs, and Christopher S. McMahan

Bagging and deep learning in optimal individualized treatment rules
Xinlei Mi, Fei Zou, and Ruoqing Zhu

Instrumental variable based estimation under the semiparametric accelerated failure time model
Jared Huling, Menggang Yu, and A. James O'Malley

Log-ratio lasso: Scalable, sparse estimation for log-ratio models
Stephen Bates and Robert Tibshirani

A non-randomized procedure for large-scale heterogeneous multiple discrete testing based on randomized tests
Xiaoyu Dai, Nan Lin, Daofeng Li, and Ting Wang

Causal inference accounting for unobserved confounding after outcome regression and doubly robust estimation
Minna Genback and Xavier de Luna

The single-index/Cox mixture cure model
Mailis Amico, Ingrid Van Keilegom, and Catherine Legrand

A Bayesian semiparametric approach to correlated ROC surfaces with stochastic order constraints
Zhen Chen and Beom Seuk Hwang

Integrative multi-view regression: Bridging group-sparse and low-rank models
Gen Li, Xiaokang Liu, and Kun Chen

Exact inference on the random-effects model for meta-analyses with few studies
Haben Michael, Suzanne Thornton, Minge Xie, and Lu Tian

Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene-environment interaction effect
Ni Zhao, Haoyu Zhang, Jennifer J. Clark, Arnab Maity, and Michael C. Wu

A robust RUV-testing procedure via gamma -divergence
Hung Hung

Convex clustering analysis for histogram-valued data
Cheolwoo Park, Hosik Choi, Chris Delcher, Yanning Wang, and Young Joo Yoon

Generalizing Causal Inferences from Individuals in Randomized Trials to All Trial-Eligible Individuals
Issa J. Dahabreh, Sarah E. Robertson, Eric Tchetgen-Tchetgen, Elizabeth A. Stuart, and Miguel A. Hernán

Nonparametric group sequential methods for evaluating survival benefit from multiple short-term follow-up windows
Meng Xia, Susan Murray, and Nabihah Tayob

A smoothing-based goodness-of-fit test of covariance for functional data
Stephanie T. Chen, Luo Xiao, and Ana-Maria Staicu

Optimal design of multiple-objective Lot Quality Assurance Sampling (LQAS) plans
Belmiro P. M. Duarte and Weng Kee Wong

Linked Matrix Factorization
Michael J. O'Connell and Eric F. Lock

A modified partial likelihood score method for Cox regression with covariate error under the internal validation design
David M. Zucker, Xin Zhou, Xiaomei Liao, Yi Li, and Donna Spiegelman

Correction to “Sensitivity Analysis for matched pair analysis of binary data: From worst case to average case analysis,” by Raiden Hasegawa and Dylan Small; 73, 1424-1432, December 2017

Exact inference for integrated population modelling
P. Besbeas and B. J. T. Morgan

Dependence modeling for recurrent event times subject to right-censoring with D-vine copulas
Nicole Barthel, Candida Geerdens, Claudia Czado, and Paul Janssen

Drawing inferences for high-dimensional linear models: A selection-assisted partial regression and smoothing approach
Zhe Fei, Ji Zhu, Moulinath Banerjee, and Yi Li

Distribution-free estimation of local growth rates around interval censored anchoring events
Chenghao Chu, Ying Zhang, and Wanzhu Tu

Estimations of the joint distribution of failure time and failure type with dependent truncation
Yu-Jen Cheng, Mei-Cheng Wang, and Chang-Yu Tsai