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Papers to Appear in Subsequent Issues

When papers are accepted for publication, they will appear below. Any changes that are made during the production process will only appear in the final version. Papers listed here are not updated during the production process and are removed once an issue is published.

Boosting Data Analytics with Synthetic Volume Expansion Xiaotong Shen, Yifei Liu, and Rex Shen
Sensitivity Analysis and Power in the Presence of Many Weak Instruments:  Application to the Effect of Incarceration on Future Earnings Ashkan Ertefaie, Jesse Y Hsu, David Harding, Jeffrey Morenoff, and Dylan S Small
Analyzing Environmental Bioassays with Spatial Odds, Risk, and Survival Probability Ratio Regressions Debashis Mondal and Xiaohui Chang
A New Design for Observational Studies Applied to the Study of the Effects of High School Football on Cognition Late in Life Katherine Brumberg, Dylan Small, and Paul Rosenbaum
Kullback-Leibler-Based Discrete Failure Time Models for Integration of Published Prediction Models with New Time-To-Event Dataset Di Wang, Wen Ye, Randall Sung, Hui Jiang, Jeremy M.G. Taylor, Lisa Ly, and Kevin He
A Bayesian Approach to GRAPPA Parallel fMRI Image Reconstruction Increases SNR and Power of Task Detection Chase Sakitis and Daniel Rowe
A Reweighted Random Forest to Predict Health Outcomes Using Human Microbiome Data Tian Wang, Bing Li, Huang Xu, Yuqi Miao, Min Qian, and Shuang Wang
Contrastive Linear Regression Boyang Zhang, Sarah Nyquist, Andrew C Jones, Barbara Engelhardt, and Didong Li
Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs Laura Forastiere, Alessandra Mattei, Julia Pesarini, Mauricio Barreto, and Fabrizia Mealli
Rice-Distributed Autoregressive Time Series Modeling of Magnitude Functional MRI Data Daniel W Adrian, Ranjan Maitra, and Daniel B Rowe
Holdout Sets for Safe Predictive Model Updating Sami Haidar-Wehbe, Samuel R. Emerson, Louis J. M. Aslett, and James Liley
Censored C-Learning for Dynamic Treatment Regime in Colorectal Cancer Study Zishu Zhan, Zhishuai Liu, Cunjie Lin, Danhui Yi, and Yufei Yang
Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery Patrick Ugochukwu Emedom-Nnamdi, Timothy R Smith, Jukka-Pekka Onnela, and Junwei Lu
Modified Treatment Policy Effect Estimation With Weighted Energy Distance Ziren Jiang and Jared Davis Huling
Comparing Baseball Players Across Eras via Novel Full House Modeling Shen Yan, Adrian Burgos Jr., Christopher Kinson, and Daniel James Eck
Multi-Run Step-Stress Model for Trend Renewal Data With Applications to Lifetime Assessment for Rechargeable Batteries Sheng Tsaing Tseng, Nan-Jung Hsu, and Chien-Chi Wu
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis Max Goplerud, Kosuke Imai, and Nicole Pashley
Biomarker Detection for Disease Classification in Longitudinal Microbiome Data Jianhua Hu
CeCNN: Copula-Enhanced Convolutional Neural Networks in Joint Prediction of Refraction Error and Axial Length Based on Ultra-Widefield Fundus Images Chong Zhong, Yang Li, Danjuan Yang, Meiyan Li, Xingtao Zhou, Bo Fu, Catherine Chunling Liu, and Alan Hepburn Welsh
An Application of Vine Based Regression to Flight Landing Data Hassan Alnasser and Claudia Czado
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos, Stephen Bates, Emmanuel Jean Candès, Michael Irwin Jordan, and Lihua Lei
A Unified Quantile Framework for Nonlinear Heterogeneous Transcriptome-Wide Associations Tianying Wang, Iuliana Ionita-Laza, and Ying Wei
Functional Data Analysis With Möbius Waves: Applications to Biomedical Oscillatory Signals Itziar Fernández, Yolanda Larriba, Christian Canedo, and Cristina Rueda
Cluster Analysis of Longitudinal Profiles for Compositional Count Data Chenyang Duan and Yuan Jiang
Bayesian Inference for Partial Orders From Random Linear Extensions: Power Relations From 12th Century Royal Acta Geoff K. Nicholls, Jeong Eun Lee, Nicholas Karn, David Johnson, Rukuang Huang, and Alexis Muir-Watt
Estimating Reporting Bias in 311 Complaint Data Kate S Boxer, Boyeong Hong, Constantine E Kontokosta, and Daniel B Neill
Flexible Bayesian Spatial Modeling for Unknown Missing Data Mechanism in Survey Analysis: an Application to the Chinese General Society Survey Guanyu Hu, Ming-Hui Chen, and Zhihua Ma
Effects of Adolescent Victimization on Offending: Flexible Methods for Missing Data & Unmeasured Confounding Mateo Dulce Rubio, Edward H. Kennedy, Valerio Baćak, and Daniel S. Nagin
Modeling Structure and Country-specific Heterogeneity in Misclassification Matrices of Verbal Autopsy-based Cause of Death Classifiers Sandipan Pramanik, Scott Zeger, Dianna Blau, and Abhirup Datta
Bayesian Data Augmentation for Recurrent Events Under Intermittent Assessment in Overlapping Intervals with Applications to EMR Data Xin Liu and Patrick M Schnell
Supervised Centrality via Sparse Network Influence Regression: An Application to the 2021 Henan Floods’ Social Network Yingying Ma, Wei Lan, Chenlei Leng, Ting Li, and Hansheng Wang
A Privacy-Preserved and High-Utility Synthesis Strategy for Risk-Based Stratified Subgroups of the Canadian Scleroderma Patient Registry Data Bei Jiang, Adrian E. Raftery, Russell J. Steele, and Naisyin Wang
A General Framework of Brain Region Detection and Genetic Variants Selection in Imaging Genetics Siqiang Su, Zhenghao Li, Long Feng, and Ting Li
Averaged Prediction Models (APM): Identifying Causal Effects in Controlled Pre-post Settings with Application to Gun Policy Thomas Leavitt and Laura Hatfield
Augmented Doubly Robust Post-Imputation Inference for Proteomic Data Haeun Moon, Jin-Hong Du, Jing Lei, and Kathryn Roeder
A Deep Neural Network Two-part Model and Feature Importance Test for Semi-continuous Data Baiming Zou, Xinlei Mi, Shiyu Wan, James G. Xenakis, Di Wu, Jianhua Hu, and Fei Zou
Bayesian Nonparametric Clustering with Feature Selection for Spatially Resolved Transcriptomics Data Bencong Zhu, Guanyu Hu, Lin Xu, Xiaodan Fan, and Qiwei Li
Inferring Epidemics From Multiple Dependent Data via Pseudo-Marginal Methods Alice Corbella, Anne M Presanis, Paul J Birrell, and Daniela De Angelis
Is the Price Cap for Gas Useful? Evidence From European Countries Francesco Ravazzolo and Luca Rossini
Federated Learning of Robust Individualized Decision Rules with Application to Heterogeneous Multi-Hospital Sepsis Population Xinlei Chen, Victor B. Talisa, Xiaoqing Tan, Zhengling Qi, Jason N. Kennedy, Chung-Chou H. Chang, Christopher W. Seymour, and Lu Tang
A Flexible and Parsimonious Modelling Strategy for Clustered Data Analysis Tao Huang, Youquan Pei, Jinhong You, and Wenyang Zhang
A Pólya Tree Modelling Framework for Batch-Mark Data Ioannis Rotous, Eleni Matechou, and Alex Diana
Predicting Gender Employment Discrepancies: A Multivariate Model for Transformed Proportions Esteban Cabello García, Domingo Morales, and Agustín Pérez
Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data Daphne Hong-Hsiao Liu and Adrian Elmes Raftery
Functional Factor Modeling of Brain Connectivity Kyle Stanley, Nicole Lazar, and Matthew Reimherr
The Properties of Covariate-Adaptive Randomization Procedures With Possibly Unequal Allocation Ratio Xiao Liu, Feifang Hu, and Wei Ma
Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation Steven Wilkins-Reeves, Yen-Chi Chen, and Kwun Chuen (Gary) Chan
Temporal Network Influence Model with Application to the COVID-19 Population Flow Network Dongxue Zhang, Long Feng, Yujia Wu, Wei Lan, and Jing Zhou
Cooperative Differential Network Learning With Hub Detection for Multi-Center Neuroimaging Data Hao Chen, Dingzi Guo, Ying Guo, Yong He, Dong Liu, Lei Liu, Yue Yin, and Xiaohua Zhou
Synthesizing Data Products, Mathematical Models, and Observational Measurements for Lake Temperature Forecasting Maike Holthuijzen, Robert B Gramacy, Cayelan C Carey, David M Higdon, and R Quinn Thomas
Clustering and Meta-Analysis Using a Mixture of Dependent Tail-Free Priors Bernardo Flores and Peter Mueller
Computationally Efficient Whole-Genome Signal Region Detection for Quantitative and Binary Traits Fan Wang, Wei Zhang, and Fang Yao
Thompson Sampling for Zero-Inflated Count Outcomes With an Application to the Drink Less Mobile Health Study Xueqing Liu, Nina Deliu, Tanujit Chakraborty, Lauren Bell, and Bibhas Chakraborty
Informed Bayesian Finite Mixture Models via Asymmetric Dirichlet Priors Garritt L. Page, Massimo Ventrucci, and Maria Franco-Villoria
Surrogate Selection Oversamples Expanded T cell Clonotypes Peng Yu, Yumin Lian, Elliot Xie, Cindy L Zuleger, Richard J Albertini, Mark R Albertini, and Michael A Newton
Mixed Modeling Approach for Characterizing the Genetic Effects in a Longitudinal Phenotype Pei Zhang, Paul S. Albert, and Hyokyoung Grace Hong
Inference with Combined Data from Subgroup Selection and Validation Phases in Clinical Trials Xinzhou Guo, Jianjun Zhou, and Xuming He
A Dual-Dictionary Model for Mining Domain-Specific Chinese Texts Jiaze Xu, Changzai Pan, and Ke Deng
Bootstrapping the Cross-Validation Estimate Bryan Cai, Yuanhui Luo, Xinzhou Guo, Fabio Pellegrini, Menglan Pang, Carl de Moor, Changyu Shen, Vivek Charu, and Lu Tian
Distributed Subsampling and Quasi Decorrelated Score for Cluster Data: An Application to Beijing Multi-Site Air Quality Junzhuo Gao, Lei Wang, and Jun Shao
Fast Variable Selection for Distributional Regression With Application to Continuous Glucose Monitoring Data Alexander Coulter, R. Nisha Aurora, Naresh M. Punjabi, and Irina Gaynanova
Estimating Life Expectancy in the Canadian Elderly Population With Dementia Using Prevalent Cohort Survival Data Ali Shariati, Masoud Asgharian, and Vahid Fakoor