Papers to Appear in Biometrics


Vol. 74, No. 4
December 2018


BIOMETRIC METHODOLOGY

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Bayesian optimal interval design with multiple toxicity constraints
Ruitao Lin

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

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

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

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

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

BIOMETRIC PRACTICE

DISCUSSION PAPER

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
Els Goetghebeur

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

Rejoiner 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

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

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

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

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

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

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

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

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

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

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

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

BOOK REVIEWS
 


Papers to appear in future issues of Biometrics

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

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

Discussion of "Model confidence bounds for variable selection"
Gerda Claeskens and Maarten Jansen

Discussion of "Model confidence bounds for variable selection"
Hannes Leeb, Benedikt M. Pötscher, and Danijel Kivaranovic

Rejoinder to discussions on "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

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

Causal comparative effectiveness analysis of dynamic continuous-time treatment initiation rules with sparsely measured outcomes and death
Liangyuan Hu and Joseph W. Hogan

A cluster-adjusted rank-based test for a clinical trial concerning multiple endpoints with application to dietary intervention assessment
Wei Zhang, Aiyi Liu, Larry L. Tang, and Qizhai Li

Inference for case-control studies with incident and prevalent cases
Marlena Maziarz, Yukun Liu, Jing Qin, and Ruth M. Pfeiffer

Approximate Bayesian inference for discretely observed continuous-time multi-state models
Andrea Tancredi

A two-stage experimental design for dilution assays
Jake Ferguson, Tanya A. Miura, and Craig R. Miller

A Statistical Method for Joint Estimation of Cis-eQTLs and Parent-of-Origin Effects under Family Trio Design
Vasyl Zhabotynsky, Kaoru Inoue, Terry Magnuson, J. Mauro Calabrese, and Wei Sun

A sensitivity analysis approach for informative dropout using shared parameter models
Li Su, Qiuju Li, Jessica K. Barrett, and Michael J. Daniels

A Bayesian hierarchical model estimating CACE in meta-analysis of randomized clinical trials with noncompliance
Jincheng Zhou, James S. Hodges, M. Fareed K. Suri, and Haitao Chu

Efficient methods for signal detection from correlated adverse events in clinical trials
Guoqing Diao, Guanghan F. Liu, Donglin Zeng, William Wang, Xianming Tan, Joseph F. Heyse, and Joseph G. Ibrahim

Fast likelihood-based inference for latent count models using the saddlepoint approximation
W. Zhang, M. V. Bravington, and R. M. Fewster

Causal Inference When Counterfactuals Depend on the Proportion of All Subjects Exposed
Caleb H. Miles, Maya Petersen, and Mark J. van der Laan

Measurement error correction and sensitivity analysis in longitudinal dietary intervention studies using an external validation study
Juned Siddique, Michael J. Daniels, Raymond J. Carroll, Trivellore E. Raghunathan, Elizabeth A. Stuart, and Laurence S. Freedman

Familywise error control in multi-armed response-adaptive trials
D. S. Robertson and J. M. S. Wason

An Iterative Penalized Least Squares Approach to Sparse Canonical Correlation Analysis
Qing Mai and Xin Zhang

Cross-sectional HIV incidence estimation accounting for heterogeneity across communities
Yuejia Xu, Oliver Laeyendecker, and Rui Wang

Copula-based semiparametric models for spatio-temporal data
Yanlin Tang, Huixia Judy Wang, Ying Sun, and Amanda S. Hering

Double-wavelet transform for multi-subject task-induced functional magnetic resonance imaging data
Minchun Zhou, David Badre, and Hakmook Kang

A Bayesian random partition model for sequential refinement and coagulation
Carlos Tadeu Pagani Zanini, Peter Mueller, Yuan Ji, and Fernando A. Quintana

Causal inference with interfering units for cluster and population level treatment allocation programs
Georgia Papadogeorgou, Fabrizia Mealli, and Corwin M. Zigler

Threshold Selection for Covariance Estimation
Yumou Qiu and Janaka S. S. Liyanage

High dimensional mediation analysis with latent variables
Andriy Derkach, Ruth M. Pfeiffer, and Ting Huei Chen, and Joshua N. Sampson

Accounting for phenology in the analysis of animal movement
Henry R. Scharf, Mevin B. Hooten, Ryan R. Wilson, George M. Durner, and Todd C. Atwood

Bayesian modeling of air pollution extremes using nested multivariate max-stable processes
Sabrina Vettori, Raphael Huser, and Marc G. Genton

A hybrid omnibus test in generalized semiparametric single-index models with high-dimensional covariate sets
Yangyi Xu, Inyoung Kim, and Raymond J. Carroll

Marginal analysis of ordinal clustered longitudinal data with informative cluster size
Aya A. Mitani, Elizabeth K. Kaye, and Kerrie P. Nelson

Granger mediation analysis of multiple time series with an application to fMRI
Yi Zhao and Xi Luo

A varying-coefficient generalized odds rate model with time-varying exposure: An application to fitness and CVD mortality
Jie Zhou, Jiajia Zhang, Alexander C. Mclain, Wenbin Lu, Xuemei Sui, and James W. Hardin

Improved methods for estimating abundance and related demographic parameters from mark-resight data
Brett T. McClintock, Gary C. White, and Moira A. Pryde

Prediction analysis for microbiome sequencing data
Tao Wang, Can Yang, and Hongyu Zhao

Analysis of Covariance (ANCOVA) in Randomized Trials: More Precision and Valid Confidence Intervals, Without Model Assumptions
Bingkai Wang, Elizabeth L. Ogburn, and Michael Rosenblum

Assessing Alignment Between Functional Markers and Ordinal Outcomes Based on Broad Sense Agreement
Jeong Hoon Jang, Limin Peng, and Amita K. Manatunga

Confidence Bands for Multiplicative Hazards Models: Flexible Resampling Approaches
Dennis Dobler, Markus Pauly, and Thomas H. Scheike

Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness
Chixiang Chen, Yuan Xue, Lijun Zhang, Biyi Shen, and Ming Wang

Nonparametric variable importance assessment using machine learning techniques
Brian D. Williamson, Peter B. Gilbert, Noah Simon, and Marco Carone

Multiclass linear discriminant analysis with ultrahigh-dimensional features
Yanming Li, Hyokyoung G. Hong, and Yi Li

Using a surrogate marker for early testing of a treatment effect
Layla Parast, Tianxi Cai, and Lu Tian

Variance Component Tests of Sparse Multivariate Mediation Effects Under Composite Null Hypotheses
Yen-Tsung Huang

Fast Bayesian inference in large Gaussian graphical models
Gwenael G. R. Leday and Sylvia Richardson

Integrative analysis of genetical genomics data incorporating network structures
Bin Gao, Xu Liu, Hongzhe Li, and Yuehua Cui

Scalable Estimation and Regularization for the Logistic Normal Multinomial Model
Jingru Zhang and Wei Lin

Detection of differentially expressed genes in discrete single-cell RNA sequencing data using a hurdle model with correlated random effects
Michael Sekula, Jeremy Gaskins, and Susmita Datta

Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages
Joanne C. Beer, Howard J. Aizenstein, Stewart J. Anderson, and Robert T. Krafty

Penalized Local Polynomial Regression for Spatial Data
Wu Wang and Ying Sun

Pleiotropy informed adaptive association test of multiple traits using GWAS summary data
Maria Masotti, Bin Guo, and Baolin Wu