Report of the Editors--2024
Regression to the mean for bivariate distributions
Manzoor Khan and Jake Olivier
Bayesian nonparametric trees for principal causal effects
Chanmin Kim and Corwin Zigler
Bayesian scalar-on-network regression with applications to brain functional connectivity
Xiaomeng Ju, Hyung G. Park, and Thaddeus Tarpey
Statistical inference on change points in generalized semiparametric segmented models
Guangyu Yang, Baqun Zhang, and Min Zhang
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
Addressing selection bias in cluster randomized experiments via weighting
Georgia Papadogeorgou, Bo Liu, Li Fan, and Li Fan
Individualized multi-treatment response curves estimation using RBF-net with shared neurons
Peter Chang and Arkaprava Roy
Multiply robust difference-in-differences estimation of causal effect curves for continuous exposures
Gary Hettinger, Youjin Lee, and Nandita Mitra
The subtype-free average causal effect for heterogeneous disease etiology
A. Sasson, M. Wang, S. Ogino, and D. Nevo
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
Michael Sweeting, Daniel Slade, Dan Jackson, and Kristian Brock
A simple and powerful method for large-scale composite null hypothesis testing with applications in mediation analysis
Yaowu Liu
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
Combining experimental and observational data through a power likelihood
Xi Lin, Jens Magelund Tarp, and Robin J. Evans
Composite likelihood inference for space-time point processes
Abdollah Jalilian, Francisco Cuevas-Pacheco, Ganggang Xu, and Rasmus Waagepetersen
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
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
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
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
High-dimensional partially linear functional Cox models
Xin Chen, Hua Liu, Jiaqi Men, and Jinhong You
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
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
Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates
Jian Sun, Li Su, and Bo Fu
A mixed-effects Bayesian regression model for multivariate group testing data
Christopher S. McMahan, Chase N. Joyner, Joshua M. Tebbs and Christopher R. Bilder
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
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
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
Jointly modeling means and variances for nonlinear mixed effects models with measurement errors and outliers
Qian Ye, Lang Wu, and Viviane Dias Lima
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
A general, flexible and harmonious framework to construct interpretable functions in regression analysis
Tianyu Zhan and Jian Kang
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
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
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data
Pan Liu, Yaguang Li, and Jialiang Li
Causal inference with cross-temporal design
Yi Cao, Pedro L. Gozalo, and Roee Gutman
Spatial sampling with R by Dick J. Brus, Chapman and Hall/CRC, 2022, ISBN: 9781032193854 https://www.routledge.com/Spatial-sampling-with-R/Brus/p/book/9781032193854
Raquel Menezes
Spatial Linear Models for Environmental Data by Dale L. Zimmerman and Jay M. Ver Hoef, Chapman and Hall/CRC, 2024, ISBN: 9780367183349 https://www.routledge.com/Spatial-Linear-Models-for-Environmental-Data/Zimmerman-VerHoef/p/book/9780367183349
John Hughes
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
Rejoinder to the discussion on “Continuous-space occupancy models”
Wilson J. Wright and Mevin B. Hooten
Data integration methods for micro-randomized trials
E. Huch, I. Nahum–Shani, L. Potter, C. Lam, D. W. Wetter, and W. Dempsey
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
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
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
Double robust variance estimation with parametric working models
Bonnie E. Shook-Sa, Paul N. Zivich, Chanhwa Lee, Keyi Xue, Rachael K. Ross, Jessie K. Edwards, Jeffrey S. A. Stringer, and Stephen R. Cole
Improving estimation efficiency for case-cohort studies with a cure fraction
Qingning Zhou and Xu Cao
Conformal predictive intervals in survival analysis: a resampling approach
Jing Qin, Jin Piao, Jing Ning, and Yu Shen
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects
Stijn Vansteelandt
Continuous-time mediation analysis for repeatedly measured mediators and outcomes
Kateline Le Bourdonnec, Linda Valeri, and Cécile Proust-Lima
Learn-As-you-GO (LAGO) trials: Optimizing treatments and preventing trial failure through ongoing learning
Ante Bing, Donna Spiegelman, Daniel Nevo, and Judith J. Lok
Semiparametric joint modeling for biomarker trajectory before disease onset
Yifei Sun, Xiwen Zhao, Kwun Chuen Gary Chan, Wanwan Xu, Heather Allore, and Yize Zhao
Variant specific treatment effects with applications in vaccine studies
Gellért Perényi and Mats Stensrud
Probabilistic exponential family inverse regression and its applications
Daolin Pang, Rouqing Zhu, Hongyu Zhao, and Tao Wang