Papers to Appear

Biometric Methodology

Structured feature ranking for genomic marker identification accommodating multiple types of networks

Yeheng Ge, Tao Li, Xingdong Feng, Mengyun Wu, and Hailong Liu

Spatially adaptive variable screening in presurgical fMRI data analysis

Yifei Hu and X. Jessie Jeng

De-biasing the bias: Methods for improving disparity assessments with noisy group measurements

Solvejg Wastvedt, Joshua Snoke, Denis Agniel, Julie Lai, Marc N. Elliott, and Steven C. Martino

Time-dependent prognostic accuracy measures for recurrent event data

R. Dey, D. E. Schaubel, J. A. Hanley, and P. Saha-Chaudhuri

Debiased high-dimensional regression calibration for errors-in-variables log-contrast models

Huali Zhao and Tianying Wang

Adaptive randomization methods for sequential multiple assignment randomized trials (SMARTs) via Thompson sampling

Peter Norwood, Marie Davidian, and Eric Laber

Graphical model inference with external network data

Jack Jewson, Li Li, Laura Battaglia, Stephen Hansen, David Rossell, and Piotr Zwiernik

An efficient joint model for high dimensional longitudinal and survival data via generic association features

Van Tuan Nguyen, Adeline Fermanian, Antoine Barbieri, Sarah Zohar, Anne-Sophie Jannot, Simon Bussy, and Agathe Guilloux

Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes

Muxuan Liang, Jaeyoung Park, Qing Lu, and Xiang Zhong

A Bayesian joint model for mediation analysis with matrix-valued mediators

Zijin Liu, Zhihui (Amy) Liu, Ali Hosni, John Kim, Bei Jiang, and Olli Saarela

Joint mirror procedure: Controlling false discovery rate for identifying simultaneous signals

Linsui Deng, Kejun He, and Xianyang Zhang

An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables

Lara Maleyeff, Shirin Golchi, Erica E.M. Moodie, and Marie Hudson

Estimation of a genetic Gaussian network using GWAS summary data

Yihe Yang, Noah Lorincz-Comi, and Xiaofeng Zhu

A generalized logrank-type test for comparison of treatment regimes in sequential multiple assignment randomized trials

Anastasios A. Tsiatis and Marie Davidian

A multivariate Polya tree model for meta-analysis with event time distributions

Giovanni Poli, Elena Fountzilas, Apostolia-Maria Tsimberidou, and Peter Müller

Large-scale survival analysis with a cure fraction

Bo Han, Xiaoguang Wang, and Liuquan Sun

Sensitivity analysis for studies transporting prediction models

Jon A. Steingrimsson, Sarah E. Robertson, Sarah Voter, and Issa J. Dahabreh

Dynamic factor analysis with dependent Gaussian processes for high-dimensional gene expression trajectories

Jiachen Cai, Robert J. B. Goudie, Colin Starr, and Brian D. M. Tom

Bayesian pathway analysis over brain network mediators for survival data

Xinyuan Tian, Fan Li, Li Shen, Denise Esserman, and Yize Zhao

Robust model averaging approach by Mallows-type criterion

Miaomiao Wang, Kang You, Lixing Zhu, and Guohua Zou

A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data

Xingche Guo, Bin Yang, Ji Meng Loh, Qinxia Wang, and Yuanjia Wang

Wasserstein regression with empirical measures and density estimation for sparse data

Yidong Zhou and Hans-Georg Müller

How to achieve model-robust inference in stepped wedge trials with model-based methods?

Bingkai Wang, Xueqi Wang, and Li Fan

Modeling longitudinal skewed functional data

Mohammad S. Alam and Ana-Maria Staicu

Likelihood adaptively incorporated external aggregate information with uncertainty for survival data

Ziqi Chen, Yu Shen, Jing Qin, and Jing Ning

A new robust approach for the polytomous logistic regression model based on Renyi’s pseudodistances

Elena Castilla

Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors

Andrew S. Whiteman, Timothy D. Johnson, and Jian Kang

Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations

Jack M. Wolf, David M. Vock, Xianghua Luo, Dorothy K. Hatsukami, F. Joseph McClernon, and Joseph S. Koopmeiners

A formal goodness-of-fit test for spatial binary Markov random field models

Eva Biswas, Andee Kaplan, Mark S. Kaiser, and Daniel J. Nordman

Functional generalized canonical correlation analysis for studying multiple longitudinal variables

Lucas Sort, Laurent Le Brusquet, and Arthur Tenehaus

Heterogeneity-aware integrative regression for ancestry-specific association studies

Aaron J. Molstad, Yanwei Cai, Alexander P. Reiner, Charles Kooperberg, Wei Sun, and Li Hsu

Causal effect estimation in survival analysis with high dimensional confounders

Fei Jiang, Ge Zhao, Rosa Rodriguez-Monguio, and Yanyuan Ma

Semiparametric sensitivity analysis: unmeasured confounding In observational studies

Razieh Nabi, Matteo Bonvini, Edward H. Kennedy, Ming-Yueh Huang, Marcela Smid, and Daniel O. Scharfstein

Bayesian network-guided sparse regression with flexible varying effects

Yangfan Ren, Christine B. Peterson, and Marina Vannucci

Group sequential testing of a treatment effect using a surrogate marker

Layla Parast and Jay Bartroff

Composite dyadic models for spatio-temporal data

Michael R. Schwob, Mevin B. Hooten, and Vagheesh Narasimhan

ROMI: A randomized two-stage basket trial design to optimize doses for multiple indications

Shuqi Wang, Peter F. Thall, Kentaro Takeda, and Ying Yuan

Biometric Practice

Semi-parametric sensitivity analysis for trials with irregular and informative assessment times

Bonnie Smith, Yujing Gao, Shu Yang, Ravi Varadhan, Andrea J. Apter, and Daniel O. Scharfstein

A likelihood approach to incorporating self-report data in HIV recency classification

Wenlong Yang, Danping Liu, Le Bao, and Runze Li

Unlocking the power of multi-institutional data: integrating and harmonizing genomic data across institutions

Yuan Chen, Ronglai Shen, Xiwen Feng, and Katherine Panageas

Estimating marginal treatment effect in cluster randomized trials with multi-level missing outcomes

Chia-Rui Chang and Rui Wang

A Bayesian framework for causal analysis of recurrent events with timing misalignment

Arman Oganisian, Anthony Girard, Jon A. Steingrimsson, and Patience Moyo

Optimal adaptive SMART designs with binary outcomes

Rik Ghosh, Bibhas Chakraborty, Inbal Nahum-Shani, Megan E. Patrick, and Palash Ghosh

Cumulative link mixed-effects models in the service of remote sensing crop progress monitoring

Ioannis Oikonomidis and Samis Trevezas

An exploratory penalized regression to identify combined effects of temporal variables - Application to agri-environmental issues

Bénedicte Fontez, Patrice Loisel, Thierry Simonneau, and Nadine Hilgert

A  causal inference framework for leveraging external controls in hybrid trials

Michael Valancius, Herbert Pang, Jiawen Zhu, Steve R. Cole, Michele Jonsson Funk, and Michael R. Kosorok

Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors

Ziyi Song, Weining Shen, Marina Vannucci, Alexandria Baldizon, Paul M. Cinciripini, Francesco Versace, and Michele Guindani

Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis

Stephanie M. Wu, Matthew R. Williams, Terrance D. Savitsky, and Briana J.K. Stephenson

Case-crossover designs and overdispersion with application to air pollution epidemiology

Samuel Perreault, Gracia Y. Dong, Alex Stringer, Hwashin Shin, and Patrick Brown

Changepoint detection on daily home activity pattern: a sliced Poisson process method

Israel Martínez Hernández and Rebecca Killick

Temporal generative models for learning heterogeneous group dynamics of ecological momentary data

Soohyun Kim, Young-geun Kim, and Yuanjia Wang

On network deconvolution for undirected graphs

Zhaotong Lin, Isaac Pan, and Wei Pan

Book Reviews

Fundamentals of probability, fifth edition by Saeed Ghahramani, Chapman and Hall/CRC, 2024, ISBN: 9781032366081, https://www.routledge.com/Fundamentals-of-probability/Ghahramani/p/book/9781032366081

Andrew J. Spieker

Principles of psychological assessment, with applied examples in R. by Isaac T. Petersen, Chapman and Hall/CRC, 2024, ISBN: 9781032413068 https://www.routledge.com/Principles-of-psychological-assessment-with-applied-examples-in-R/Petersen/p/book/9781032413068

Levent Dumenci

Papers to appear in future issues of Biometrics

Gaussian processes for time series with lead-lag effects with applications to biology data

Wancen Mu, Jiawen Chen, Eric S. Davis, Kathleen Reed, Douglas Phanstiel, Michael I. Love, and Didong Li

A unified combination framework for dependent tests with applications to microbiome association studies

Xiufan Yu, Linjun Zhang, Arun Srinivasan, Min-ge Xie, and Lingzhou Xue

Addressing selection bias in cluster randomized experiments via weighting

Georgia Papadogeorgou, Bo Liu, Li Fan, and Li Fan

Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks

Tsung-Hung Yao, Yang Ni, Anindya Bhadra, Jian Kang, and Veerabhadran Baladandayuthapani

Distributed model building and recursive integration for big spatial data modeling

Emily C. Hector, Brian J. Reich, and Ani Eloyan

Continuous-space occupancy models

Wilson J. Wright and Mevin B. Hooten

Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten

Léa Pautrel, Marie-Pierre Etienne, and Olivier Gimenez

Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten

Jeffrey W. Doser and Krishna Pacifici

Causal inference with cross-temporal design

Yi Cao, Pedro L. Gozalo, and Roee Gutman

Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates

Jian Sun, Li Su, and Bo Fu

High-dimensional partially linear functional Cox models

Xin Chen, Hua Liu, Jiaqi Men, and Jinhong You

Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes

Ajmery Jaman, Guanbo Wang, Ashkan Ertefaile, Michele Bally, Renee Levesque, Robert W. Platt, and Mireille E. Schnitzer

Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data

Pan Liu, Yaguang Li, and Jialiang Li

Distributed lag models for retrospective cohort data with application to a study of built environment and body weight

Jennifer F. Bobb, Stephen J. Mooney, Maricela Cruz, Anne Vernez Moudon, Adam Drewnowski, David Arterburn, and Andrea J. Cook

Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study

Daxuan Deng, Lijun Zhang, Hao Feng, Vernon M. Chinchilli, Chixiang Chen, and Ming Wang

Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study

Camila Olarte Parra, Rhian M. Daniel, David Wright, and Jonathan W. Bartlett

Data integration methods for micro-randomized trials

E. Huch, I. Nahum–Shani, L. Potter, C. Lam, D. W. Wetter, and W. Dempsey

Feature screening for metric space-valued responses based on Fr´echet regression with its applications

Bing Tian, Jian Kang, and Wei Zhong

Pseudo-observations for bivariate survival data

Yael Travis-Lumer, Micha Mandel, and Rebecca A. Betensky

A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data

Yanghong Guo, Lei Yu, Lei Guo, Lin Xu, and Qiwei Li

Combining experimental and observational data through a power likelihood

Xi Lin, Jens Magelund Tarp, and Robin J. Evans

A semicompeting risks model with an application to UK biobank data to identify risk factors for diabetes onset and progression

Md Tuhin Sheikh and Hongyu Zhao

Composite likelihood inference for space-time point processes

Abdollah Jalilian, Francisco Cuevas-Pacheco, Ganggang Xu, and Rasmus Waagepetersen

The subtype-free average causal effect for heterogeneous disease etiology

A. Sasson, M. Wang, S. Ogino, and D. Nevo

Combining covariate adjustment with group sequential, information adaptive designs to improve randomized trial efficiency

Kelly Van Lancker, Joshua F. Betz, and Michael Rosenblum

Positive-definite regularized estimation for high dimensional covariance on scalar regression

Jie He, Yumou Qiu, and Xiao-Hua Zhou

Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data

Yichen Lou, Yuqing Ma, Jianguo Sun, Peijie Wang, and Zhisheng Ye

A general, flexible and harmonious framework to construct interpretable functions in regression analysis

Tianyu Zhan and Jian Kang

A simple and powerful method for large-scale composite null hypothesis testing with applications in mediation analysis

Yaowu Liu

Multiply robust difference-in-differences estimation of causal effect curves for continuous exposures

Gary Hettinger, Youjin Lee, and Nandita Mitra

Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs

Michael Sweeting, Daniel Slade, Dan Jackson, and Kristian Brock

Statistical inference on change points in generalized semiparametric segmented models

Guangyu Yang, Baqun Zhang, and Min Zhang

Individualized multi-treatment response curves estimation using RBF-net with shared neurons

Peter Chang and Arkaprava Roy

Sparse Bernoulli mixture modeling with negative-unlabeled data: An approach to identify and characterize long COVID

Tingyi Cao, Harrison T. Reeder, and Andrea S. Foulkes

Jointly modeling means and variances for nonlinear mixed effects models with measurement errors and outliers

Qian Ye, Lang Wu, and Viviane Dias Lima

Bayesian scalar-on-network regression with applications to brain functional connectivity

Xiaomeng Ju, Hyung G. Park, and Thaddeus Tarpey

Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data

Lingzhou Xue, Danning Li, Haoyi Yang, and Xiufan Yu

Robust and efficient semi-supervised learning for Ising model

Daiqing Wu and Molei Liu

Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression

Tong Lu, Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong, and Shuo Chen

A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards

Ying Cui, Qi Yu, Amita Manatunga, and Jeong Hoon Jang

Bayesian nonparametric trees for principal causal effects

Chanmin Kim and Corwin Zigler

A mixed-effects Bayesian regression model for multivariate group testing data

Christopher S. McMahan, Chase N. Joyner, Joshua M. Tebbs and Christopher R. Bilder

Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression

Florian Stijven, Trung Dung Tran, Ellen Driessen, Ariel Alonso Abad, Geert Molenberghs, Geert Verbeke, and Iven Van Mechelen

Regression to the mean for bivariate distributions

Manzoor Khan and Jake Olivier

Inference with approximate local false discovery rates

Rajesh Karmakar, Ruth Heller, and Saharon Rosset

Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard

Aristidis K. Nikoloulopoulos

Statistical Inference on the relative risk following covariate-adaptive randomization

Fengyu Zhao, Yang Liu, and Feifang Hu

Estimating weighted quantile treatment effects with missing outcome data by double sampling

Shuo Sun, Sebastien Haneuse, Alexander W. Levis, Catherine Lee, David E. Arterburn, Heidi Fischer, Susan Shortreed, and Rajarshi Mukherjee

Precision generalized Phase I-II designs

Saijun Zhao, Peter F. Thall, Ying Yuan, Juhee Lee, Pavlos Msaouel, and Yong Zang

Discrete-time competing-risks regression with or without penalization

Tomer Meir and Malka Gorfine

Optimal dynamic treatment regime estimation in the presence of nonadherence

Dylan Spicker, Michael P. Wallace, and Grace Y. Yi

Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events

Chenyin Gao, Xiang Zhang, and Shu Yang

PDC-MAKES: A conditional screening method for controlling false discoveries in high-dimensional multi-response setting

Wei Xiong, Han Pan, and Tong Shen

Multiple bias calibration for valid statistical inference under nonignorable nonresponse

Seonghun Cho, Jae-Kwang Kim, and Yumou Qiu

Distance weighted directional regression for Fréchet sufficient dimension reduction

Chao Ying, Zhou Yu, and Xin Zhang

Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach

Luca Caldera, Chiara Masci, Andrea Cappozzo, Marco Forlani, Barbara Antonelli, Olivia Leoni, and Francesca Ieva

Addressing confounding and continuous exposure measurement error using corrected score functions

Brian D. Richardson, Bryan S. Blette, Peter B. Gilbert, and Michael G. Hudgens

Cumulative incidence function estimation using population-based biobank data

M. Gorfine, D. M. Zucker, and Shoval Shoham

A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data

Madeline R. Abbott, Walter H. Dempsey, Inbal Nahum-Shani, Lindsey N. Potter, David W. Wetter, Cho Y. Lam, and Jeremy M.G. Taylor

Bayesian covariate-dependent graph learning with a dual group spike-and-slab prior

Zijian Zeng, Meng Li, and Marina Vannucci

A semiparametric quantile regression rank score test for zero-inflated data

Zirui Wang, Wodan Ling, and Tianying Wang