Papers to Appear

Biometric Methodology Discussion Paper

Nonparanormal adjusted marginal inference

Susanne Dandl and Torsten Hothorn

Discussion on “Nonparanormal adjusted marginal inference” by Susanne Dandl and Torsten Hothorn

Edward Bein

Discussion on “Nonparanormal adjusted marginal inference” by Susanne Dandl and Torsten Hothorn

Shirin Golchi

Discussion on “Nonparanormal adjusted marginal inference” by Susanne Dandl and Torsten Hothorn

Kelly Van Lancker and Oliver Dukes

Rejoinder to the discussion on "Nonparanormal adjusted marginal inference"

Susanne Dandl and Torsten Hothorn

Biometric Methodology

Statistical inference for mean function of partially observed functional time series

Shuang Sun, Leheng Cai, and Qirui Hu

Causally-interpretable random-effects meta-analysis

Justin M. Clark, Kollin W. Rott, James S. Hodges, and Jared D. Huling

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling

Marco Alfó, Maria Francesca Marino, and Francesca Martella

Bayesian structured mediation analysis with unobserved confounders

Yuliang Xu, Shu Yang, and Jian Kang

Pseudo-observation regression for sequentially truncated data

Jing Qian, Erik T. Parner, Morten Overgaard, and Rebecca A. Betensky

A generalized difference-in-differences estimator for stepped-wedge cluster-randomized trials

Lee Kennedy-Shaffer

Transfer learning estimation of the accelerated failure time model based on high-dimensional data

Yichen Lou, Mingyue Du, Hui Zhao, and Jianguo Sun

Targeted maximum likelihood estimation for mediation analysis with multiple time-varying mediators

Yan-Lin Chen, Yun-Hao Chang, and Sheng-Hsuan Lin

Nonparametric motion control in functional connectivity studies in children with autism spectrum disorder

Jialu Ran, Sarah Shultz, Benjamin B. Risk, and David Benkeser

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments

Yuan Bian, Donglin Zeng, Hyun-Joon Yang, Leanne M. Williams, and Yuanjia Wang

Multivariate causal effects: a Bayesian causal regression factor model

Dafne Zorzetto, Jenna Landy, Corwin Zigler, Giovanni Parmigiani, and Roberta De Vito

The underlap coefficient as a measure of a biomarker’s discriminatory ability

Zhaoxi Zhang, Vanda Inacio, and Miguel de Carvalho

Decentralized EM algorithm for Gaussian mixtures under data heterogeneity and partial labeling

Xuetong Li, Shuyuan Wu, Bin Du, and Hansheng Wang

Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis

Tonghui Yu and Liming Xiang

A Bayesian decision-theoretic approach to multiple testing in basket trials

Amartya Kumar Maulik and Tianjian Zhou

Heterogeneous causal mediation analysis using Bayesian additive regression trees

Chen Liu, Xu Qin, Victor B. Talisa, and Jiebiao Wang

A regularized multi-state model for covariate selection with interval-censored survival data

Ariane Bercu, Agathe Guilloux, Cécile Proust-Lima, and Hélène Jacqmin-Gadda

Detection of multiple influential observations on model selection

Dongliang Zhang, Masoud Asgharian, and Martin A. Lindquist

Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events

Jessica Gronsbell, Zachary R. McCaw, Isabelle-Emmanuella Nogues, Xiangshan Kong, Tianxi Cai, Lu Tian, and  LJ Wei

Two-phase designs for cost-effective evaluation of cancer screening tests

Fangya Mao, Richard J. Cook, Thomas Lorey, Nicolas Wentzensen, and Li C. Cheung

Mixed membership latent variable model with unknown factors, factor loadings and number of extreme profiles

Yuyang He, Xinyuan Song, and Kai Kang

Heterogeneity learning in distributed networks with large scale survival data

Tingting Cai, Tao Hu, Jianguo Sun, and Mengqi Xie

Uncertainty quantification and multi-stage variable selection for personalized treatment regimes

Jiefeng Bi, Matteo Borrotti, and Bernardo Nipoti

Knowledge-guided Bayesian biclustering model for omics data with noisy graphs

Qiyiwen Zhang, Wenrui Li, Suprateek Kundu, and Qi Long

Causal inference targeting a concentration index for studies of health inequalities

Mohammad Ghasempour, Xavier de Luna, and Per E. Gustafsson

Efficient collaborative learning of the average treatment effect

Sijia Li and Rui Duan 

Efficient interaction analysis in randomized controlled trials

Likun Zhang and Wei Ma

Borrowing strength across exposures and outcomes via index models for multi-pollutant mixtures

Glen McGee and Joseph Antonelli

A mixed effect similarity matrix regression model (SMRmix) for integrating multiple microbiome datasets at the community level

Mengyu He and Ni Zhao

Scalable Gaussian process regression via median posterior inference for estimating the health effects of an environmental mixture

Aaron Sonabend, Jiangshan Zhang, Edgar Castro, Joel Schwartz, Brent A. Coull, and Junwei Lu

Borrowing information from an unidentifiable model: Guaranteed efficiency gain with a dichotomized outcome in the external data

Lu Wang, Yanyuan Ma, and Jiwei Zhao

A novel exact confidence interval for the difference of proportions in paired data using a restricted most probable statistic

Xingyun Cao, Weizhen Wang, and Tianfa Xie

Personalized treatment design in the context of functional confounding

Zhixian Yang, Peijun Sang, Yixin Han, Bei Jiang, Linglong Kong, and Xingcai Zhou

Measurement error-robust causal inference via constructed instrumental variables

Caleb H. Miles, Linda Valeri, and Brent Coull

Biometric Practice Discussion Paper

INTACT: A method for integration of longitudinal physical activity data from multiple sources

Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Sijia Li and Damla Senturk

Discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Lily Koffman and Ciprian M. Crainiceanu

Discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Daniel Fuller and Kevin Stanley

Discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Matthew Reimherr and Haotian Lin

Rejoinder to the discussion on "INTACT: A method for integration of longitudinal physical activity data from multiple sources"

Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Biometric Practice

Subgroup identification via interaction tree and mixed model for repeated measures with application to Alzheimer’s disease

Zhichen Xu, Jimin Ding, Xiaogang Su, Guoqiao Wang, Ke Xie, Yining Zhao, Chengjie Xiong, Eric McDade, Lon S. Schneider, and Lei Liu

A Bayesian phase I/II platform design with data augmentation accounting for delayed outcomes

Wentao Yang, Rongji Mu, and Zhangsheng Yu

Practical considerations when using the covariate-adjusted log-rank test for the analysis of time-to-event endpoints in oncology trials

Daniel Backenroth, Sanne Roels, Shiva Dibaj, Ting Ye, Fredrik Öhrn, and Kelly Van Lancker

Integration of aggregate data in causally interpretable meta-analysis by inverse weighting

Tat Thang Vo, Tran Trong Khoi Le, Sivem Afach, and Stijn Vansteelandt

Competing-triggering effect models for multi-type recurrent events data

Tianhao Song, Jason Fine, Payal Khincha, Anastasia Ivanova, and Paul Albert

Assessing interactive causes of an occurred outcome due to two binary exposures

Shanshan Luo, Wei Li, Xueli Wang, Shaojie Wei, and Zhi Geng

Minimum noninferiority dose for phase I clinical trials with immunotherapy

Ninghao Zhang and Guosheng Yin

A three-groups non-local model for combining heterogeneous data sources to identify genes associated with Parkinson’s disease

Troy P. Wixson, Benjamin A. Shaby, Daisy L. Philtron, IPDG Consortium, Leandro A. Lima, Stacia K. Wyman, Julia A. Kaye, and Steven Finkbeiner

TITE-Safety: A robust time-to-event safety monitoring approach for clinical trials

Michael J. Martens, Qinghua Lian , and Brent R. Logan

Q-learning with clustered-SMART (cSMART) data: Examining moderators in the construction of clustered adaptive interventions

Yao Song, Kelly Speth, Amy Kilbourne, Andrew Quanbeck, Daniel Almirall, and Lu Wang

Correcting random effect distributions to account for survivorship bias in individual heterogeneity Cormack-Jolly-Seber models

Blanca Sarzo, Ruth King, and Rachel McCrea

Joint modeling of multiple longitudinal biomarkers and survival outcomes via threshold regression: Variability as a predictor

Mingyan Yu, Zhenke Wu, Michelle M. Hood, Carrie Karvonen-Gutierrez, Siobán D. Harlow, and Michael R. Elliott

Regression methods for cost-effectiveness analysis with different censoring times or terminating events for survival time and costs

Dingning Liu and Shuai Chen

Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial

Peter Norwood, Christina Yua, Denise Wolf, Philip Beineke, Andrew Chapple, Anastasios Tsiatis, and Marie Davidian

Two-phase designs for biomarker studies when disease processes are under intermittent observation

Kecheng Li and Richard J. Cook

Bayesian shrinkage priors for penalized synthetic control estimators in the presence of spillovers

Esteban Fernández-Morales, Arman Oganisian, and Youjin Lee

A zero-inflated hierarchical generalized transformation model to address non-normality in spatially-informed cell-type deconvolution

Hunter J. Melton, Jonathan R. Bradley, and Chong Wu

Book Reviews

A First Course in Causal Inference

Alessandra Mattei

Sample Sizes for Clinical Trials (second edition)

Frank Bretz and Robin Ristl

An Introduction to Clinical Trials

Sofia Villar

Copula Additive Distributional Regression Using R

Thomas Kneib

Correction

Correction to: Surrogate Measures and Consistent Surrogates 

Papers to appear in future issues of Biometrics

Robust integration of external control data in randomized trials

Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Discussion on "Robust integration of external control data in randomized trials," by Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Stef Baas, Haiyan Zheng, and Sofia S. Villar

Discussion on "Robust integration of external control data in randomized trials," by Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Martin Posch, Stephen Senn, Franz Konig, and Dominic Magirr

Discussion on "Robust integration of external control data in randomized trials," by Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Bjoern Bornkamp, Frank Bretz, Rima Izem, and Marius Thomas

Rejoinder to the discussion on "Robust integration of external control data in randomized trials"

Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles

Qingyan Xiang, Paola Sebastiani, Thomas T. Perls, Stacy L. Andersen, Svetlana Ukraintseva, Mikael Thinggaard, and Judith J. Lok

Discussion on ”Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles” by Qingyan Xiang, Paola Sebastiani, Thomas T. Perls, Stacy L. Andersen, Svetlana Ukraintseva, Mikael Thinggaard, and Judith J. Lok

Daniel Nevo

Discussion on ”Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles” by Qingyan Xiang, Paola Sebastiani, Thomas T. Perls, Stacy L. Andersen, Svetlana Ukraintseva, Mikael Thinggaard, and Judith J. Lok

Jessica G. Young and Leora Sarvet

Bayesian joint additive factor models for multiview learning

Niccolo' Anceschi, Federico Ferrari, David B. Dunson, and Himel Mallick

One-at-a-time knockoffs

Charlie K. Guan, Zhimei Ren, and Daniel W. Apley

Fast penalized generalized estimating equations for large longitudinal functional datasets

Gabriel Loewinger, Alexander W. Levis, Erjia Cui, and Francisco Pereira

Principled type I error rate inflation in two-arm clinical trial designs with external control information borrowing

Silvia Calderazzo, Manuel Wiesenfarth, Vivienn Weru, and Annette Kopp-Schneider

Discussion on "Principled type I error rate inflation in two-arm clinical trial designs with external control information borrowing" by Silvia Calderazzo, Manuel Wiesenfarth, Vivienn Weru, and Annette Kopp-Schneider

Laurens Sluijterman and Sarah Zohar

Adaptive Bayesian multivariate spline knot inference with prior specifications on model complexity

Junhui He, Ying Yang, and Jian Kang

Subgroup identification and membership prediction

Lu Chen, Xuerong Chen, Xinzhou Guo, and Yi Li

Statistical analysis of disease onset during lifespan with left truncation

Yue Wang, Bin Nan, Daniel L. Gillen, and Maria M. Corrada

Generalized local Kendall’s τ: a novel framework for uncovering nonlinear local dependence

Zaixin Huang and Zhengjun Zhang

Distributionally balanced sampling designs

Anton Grafström and Wilmer Prentius

Interim analysis in sequential multiple assignment randomized trials for survival outcomes

Zi Wang, Yu Cheng, and Abdus, S. Wahed

FLAME: A model for duration-dependent risk accumulation in episodic temporal exposures

Xinkai Zhou, Lee Goeddel, Nauder Faraday, and Ciprian M. Crainiceanu

Unsupervised optimal deep transfer learning for classification under general conditional shift

Junjun Lang and Yukun Liu

Monitoring adverse events through Bayesian nonparametric clustering across studies

Shijie Yuan, Kevin Roberts, Noirrit Kiran Chandra, Yuan Ji, and Peter Müller

Bayesian tele-connected spatial clustering of multivariate spatial data with applications to disease-mapping

Srijato Bhattacharyya, Huiyan Sang, and Bani Mallick

Bias reduction in g-computation for covariate adjustment in randomized clinical trials

Xin Zhang, Lin Liu, and Haitao Chu

Manifold-constrained Gaussian processes for inference of mixed-effects ordinary differential equations with application to pharmacokinetics

Yuxuan Zhao and Samuel W.K. Wong

A Bayesian transfer learning model for mixed effects longitudinal data analysis

Jialing Liu, Souradipto Ghosh Dastidar, and Steffen Ventz

Individual causal effect estimation accounting for latent disease state modification among bipolar participants in mobile health studies

Charlotte R. Fowler, Xiaoxuan Cai, Habiballah Rahimi-Eichi, Lisa Dixon, Justin T. Baker, Jukka-Pekka Onnela, and Linda Valeri

Spatial confounding in multivariate areal data analysis

Kyle Lin Wu and Sudipto Banerjee

Shift-adjusted Neyman–Pearson classifiers via single index modeling (SACSIM)

Jiaming Qiu, Ying-Qi Zhao, and Yingye Zheng

A Bayesian contamination model for serial dilution assays

Siquan Wang, Qixuan Chen, Matthew Perzanowski, Adnan Divjan, and Andrew Gelman

P3LS: Point process partial least squares

Jamshid Namdari, Robert T. Krafty, and Amita Manatunga

Group sequential clinical trial designs for composite endpoints incorporating recurrent and terminal events

Qinghua Lian, Kwang Woo Ahn, Soyoung Kim, Brent R. Logan, Melhem Solh, and Michael J. Martens

Symmetric vaccine efficacy

Lucy D’Agostino McGowan, Sarah C. Lotspeich, and Michael G. Hudgens

Causal decomposition framework for quantifying intervenable cancer health disparities

Fan Xia, Sang Kyu Lee, Seonjin Kim, Kelly Blum, Hyokyoung G. Hong, Alison J. Canchola, and Mi-Ok Kim

Reliable fairness auditing with semi-supervised inference

Jianhui Gao and Jessica Gronsbell

Efficient estimation for deep generalized accelerated hazards models with interval-censored data

Qiang Wu, Mingyue Du, Shuangge Ma, and Xingqiu Zhao

Valid post-selection inference in robust Q-learning

Jeremiah Jones, Ashkan Ertefaie, James R. McKay, David W. Oslin, and Robert L. Strawderman

Bayesian network meta-regression models for multivariate aggregate responses with partially observed or completely missing within-treatment sample covariance matrices

Simiao Gao, Sungduk Kim, Ming-Hui Chen, Arvind K. Shah, Jianxin Lin, and Joseph G. Ibrahim

Blinded sample size recalculation in randomized controlled trials with analysis of covariance

Takumi Kanata, Yasuhiro Hagiwara, and Koji Oba

A general framework for testing clustering significance and variable-level inference in high-dimensional data

Hui Shen, Dongmei Li, and Yufeng Liu

Bayesian semiparametric modelling of biomarker variability in joint models

Sida Chen, Jessica K. Barrett, Marco Palma, Jianxin Pan, and Brian D. M. Tom