Papers to Appear

Biometric Methodology

A Bayesian adaptive digital twin design for avatar-driven cancer clinical trials

Peng Yang, Yeohee Park, and Suyu Liu

Optimal subsampling methods for large clustered imbalanced data based on generalized estimating equations

Tingting Yu, Sehwan Kim, and Rui Wang

Flexible copula-based variable selection for interval-censored semi-competing risks data: Application to aging research

Yuyao Zhang, Naijia Fan, Huiping Zheng, Ying Ding, and Tao Sun

Density and treatment effect estimation under covariate-adaptive randomization with heavy-tailed outcomes

Hongzi Li, Wei Ma, Yingying Ma, and Hanzhong Liu

A latent factor panel approach to spatiotemporal causal inference

Jiaxi Wu and Alexander Franks

A tree-based kernel for densities and its applications in clustering DNase-seq profiles

Yuliang Xu, Kaixuan Luo, and Li Ma

Estimating effects on cumulative incidence probabilities by direct polytomous regression and polytomous log-odds product

Shiro Tanaka and Thomas H. Scheike

Seamless dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials

Rebecca B. Silva, Bin Cheng, and Shing M. Lee

Doubly robust proximal causal inference under confounded outcome-dependent sampling

Kendrick Li, Xu Shi, Wang Miao, and Erica Tchetgen Tchetgen

Reliable fairness auditing with semi-supervised inference

Jianhui Gao and Jessica Gronsbell

Multiply robust inference of average treatment effects by high-dimensional empirical likelihood

Xintao Xia and Yumou Qiu

Estimating covariate effects on functional connectivity using Voxel-level fMRI data

Wei Zhao, Brian J. Reich, and Emily C. Hector

DAG trend filtering for genomic denoising via higher-order Bayesian networks and DAG shrinkage processes

Weixuan Zhu, Fan Liao, and Yang Ni

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

Zaixin Huang and Zhengjun Zhang

Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies

Keisuke Hanada and Tomoyuki Sugimoto

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

Hui Shen, Dongmei Li, and Yufeng Liu

Spatial confounding in multivariate areal data analysis

Kyle Lin Wu and Sudipto Banerjee

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

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

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

Jiaming Qiu, Ying-Qi Zhao, and Yingye Zheng

Bayesian joint additive factor models for multiview learning

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

Subgroup identification and membership prediction

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

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

One-at-a-time knockoffs

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

A Bayesian transfer learning model for mixed effects longitudinal data analysis

Jialing Liu, Souradipto Ghosh Dastidar, and Steffen Ventz

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

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

Junhui He, Ying Yang, and Jian Kang

Distributionally balanced sampling designs

Anton Grafström and Wilmer Prentius

Statistical analysis of disease onset during lifespan with left truncation

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

Unsupervised optimal deep transfer learning for classification under general conditional shift

Junjun Lang and Yukun Liu

Interim analysis in sequential multiple assignment randomized trials for survival outcomes

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

Fast penalized generalized estimating equations for large longitudinal functional datasets

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

Biometric Practice

Inferring leakage in imports of frozen seafood allowing for censoring, testing accuracy and a minimum positive prevalence

Sumonkanti Das, Robert G. Clark, Mahdi Parsa, and Belinda Barnes

Bayesian optimization for identification of optimal biological dose combinations in personalized dose-finding trials

James Willard, Shirin Golchi, and Erica E.M. Moodie

A Bayesian model averaging method for dose ranging studies in oncology

Adetayo Kasim, Nathan W. Bean, Elena Parkhomenko, Amelia Cottle, Andre Acusta, Helen Zhou, Tai-Tsang Chen, Antony Sabin, and Matthew A. Psioda

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

Bayesian semiparametric modelling of biomarker variability in joint models

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

Symmetric vaccine efficacy

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

A Bayesian contamination model for serial dilution assays

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

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

Monitoring adverse events through Bayesian nonparametric clustering across studies

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

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

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

Book Reviews

Biostatistics for Bioassay

Daniel Gerhard

Textbook of Medical Statistics

Katie Wilson

Statistical Methods in Epilepsy

Quy Cao

Practical Healthcare Statistics with Examples in Python and R: A Guide for the Uninitiated

Cathy Shyr

Corrections

Correction to: Statistical inference for mean function of partially observed functional time series 

Correction to: Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo 

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

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

Vanessa Didelez

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

Ruixuan Zhao, Xin Liu, Guowen Huang, and Linbo Wang

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

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

Martin Posch, Nico Bruder, Han Chang Chiam, Teresa Engelbrecht, and Franz König

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

Tim Friede and Christian Röver

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

Valid post-selection inference in robust Q-learning

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

Topological data analysis of spatial protein expression in multiplexed spatial proteomics studies

Sarah Samorodnitsky and Michael C. Wu

Generative estimation of conditional survival function

Xingyu Zhou, Wen Su, Changyu Liu, Yuling Jiao, Xingqiu Zhao, and Jian Huang

Estimating the duration of RT-PCR positivity for SARS-CoV-2 from doubly interval censored data with undetected infections

Joshua Blake, Paul Birrell, A. Sarah Walker, Koen B. Pouwels, Thomas House, Brian D. M. Tom, Theodore Kypraios, and Daniela De Angelis

Robust estimation of average treatment effects with binary outcomes subject to both missingness and misclassification

Yijia Weng and Grace Y. Yi

Pseudo-data augmentation for exact conditional likelihood inference in meta-analysis

Hisashi Noma

Multiomics tissue segmentation via spatially-informed nested biclustering methods

Francesco Denti, Cecilia Balocchi, Vanna Denti, and Giulia Capitoli

Prediction intervals for random-effects meta-analysis based on confidence distributions and Edgington’s method

David Kronthaler and Leonhard Held

A Gaussian process model for chemoinformatics with application to the hazard classification of organic solvents

Arron Gosnell and Evangelos Evangelou

Meta-analytical federated surveillance for incubation period with interval- and right-censored data with stochastic variational inference

Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, and Akifumi Eguchi

Transportable inference using target population summary statistics under covariate shift

Ying Sheng, Yifei Sun, and Chiung-Yu Huang

Bayesian multiple imputation for functional data

Ziren Jiang, Lei Xuan, Eric F. Lock, and Erjia Cui

Parsimonious modeling of category-specific effects in partial proportional odds models based on trees

Nikolai Spuck, Ingo Gräff, and Moritz Berger

A Bayesian deep learning framework for brain dynamic functional connectivity linked with cognition

Xinyuan Tian, Yuanshuang Guo, Shengxian Ding, Yifei Zhang, Denise Esserman, and Yize Zhao

Causal vaccine effects on post-infection outcomes in the naturally infected

Allison Codi, Elizabeth Rogawski McQuade, Razieh Nabi, Mats Stensrud, Kaeum Choi, and David Benkeser

Improving interpretation of latent class models for diagnostic tests: Distinguishing target condition from measurands using directed acyclic graphs

Nandini Dendukuri, Ian Schiller, Else Margreet Bijker, Michael Libman, Paul Gustafson, Patrick M. Bossuyt, and Joanna Merckx

Sample size determination for randomized decentralized clinical trials with longitudinal outcomes

Chunyi Zhang, Ying Yuan, Ruitao Lin, and Suyu Liu

Localizing support-set changepoints in high-dimensional linear models

Junfeng Cui, Junhui Wang, Changliang Zou, and Yan Zhou

Linear projection inference for individual variable importance

Xinjie Zhou and Zhengbang Li

Dimension reduction for characterizing sexual dimorphism in biomechanics of the temporomandibular joint

Sung Hee Park, Xin Zhang, Elizabeth Slate, Shuchun Sun, and Hai Yao

Dissecting microbial community structure and heterogeneity via multivariate covariate-adjusted clustering

Zhongmao Liu, Xiaohui Yin, Yanjiao Zhou, Gen Li, and Kun Chen

Nonparametric sensitivity analysis for unobserved confounding with survival outcomes

Rui Hu and Ted Westling

Penalized fair regression for multiple groups in chronic kidney disease

Carter H. Nakamoto, Lucia Lushi Chen, Agata Foryciarz, and Sherri Rose

Robustness intervals for competing risks analysis with causes of failure missing not at random

Giorgos Bakoyannis, Aristofanis Rontogiannis, Ying Zhang, Wanzhu Tu, Ann Mwangi, and Constantin T. Yiannoutsos

An efficient Bayesian data augmentation algorithm for continuous-time stochastic epidemic models fit to partially observed incidence data

Haoyu Wu, David A. Stephens, and Erica E. M. Moodie

Scalable finite mixture of regression models for clustering species responses in ecology

Francis K.C. Hui, Patricia Menendez, Scott Foster, and Skip Woolley

A unified approach to generalized entropy calibration with missing data

Yonghyun Kwon, Jae Kwang Kim, and Yumou Qiu

Stabilizing Thompson sampling with null hypothesis Bayesian response-adaptive randomization

Samuel Pawel and Leonhard Held

Vaccine sieve analysis of deep sequencing data using competing risks Cox regression with failure type subject to misclassification

James Peng, Michal Juraska, Pamela A. Shaw, and Peter B. Gilbert

Compressive Bayesian non-negative matrix factorization for mutational signatures analysis

Alessandro Zito and Jeffrey W. Miller

A communication-efficient distributed algorithm for learning with heterogeneous and structurally incomplete multi-site data

Xiaokang Liu, Yuchen Yang, Yifei Sun, Jiang Bian, Yanyuan Ma, Raymond J. Carroll, and Yong Chen

Integration of individual participant and aggregate data under dataset shift: Summary statistic comparison and scalable computation

Ming-Yueh Huang, Jing Qin, and Chiung-Yu Huang

Time-restricted generalized R2 measures for assessing predictive performance in competing risks data

Zian Zhuang, Wen Su, Eric Kawaguchi, and Gang Li

Sparse and heterogeneous meta-analysis with semiparametric models

Jie Yang, Jinseong Bok, Qiwei Li, and Sunyoung Shin

Semi-supervised inference for measuring the magnitude of treatment effect heterogeneity

Yilizhati Anniwaer and Yuqian Zhang

Fusing multiple incomplete observational data sources for estimation of quantile treatment effects

Xuqing Wang, Yongfu Yu, Guoyou Qin, and Zhongyi Zhu

False positive controlled model confidence bounds for variable selection in linear regression models

Junjie Shi, Yan Yu, Yang Li, and Yichen Qin

Dynamic network analysis via recurrent-event model with edge frailties

Qiyu Wang, Min Zeng, Hong Zhang, Jinfeng Xu, and Tony Sit

Proximal causal inference for modified treatment policies

Antonio Olivas-Martinez, Peter B. Gilbert, and Andrea Rotnitzky

A functional latent space model for time-varying networks with applications to clinical outcomes data

Guojun Zhu, Ruiyue Wang, Rong Li, Sanguo Zhang, Ben-Chang Shia, Shuangge Ma, and Hao Mei