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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.

A Marginal Structural Model for Partial Compliance in SMARTs William Jeremy Artman, Ashkan Ertefaie, Kevin G Lynch, James R McKay, and Brent A Johnson
Hospital Quality Risk Standardization via Approximate Balancing Weights Luke Keele, Eli Ben-Michael, Avi Feller, Rachel Kelz, and Luke Miratrix
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3  networks and dairy cattle data Syed Rahman, Kshitij Khare, George Michailidis, Carlos Martinez, and Juan Carulla
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification Xiao Wang
Estimating the effects of a California gun control program with Multitask Gaussian Processes Eli Ben-Michael, David Arbour, Avi Feller, Alex Franks, and Steven Raphael
Robust joint modelling of left-censored longitudinal data and survival data, with application to HIV vaccine studies Lang Wu
Bayesian Decision Theory for Tree-Based Adaptive Screening Tests with an Application to Youth Delinquency Chelsea Krantsevich, P. Richard Hahn, Yi Zheng, and Charles Katz
Bayesian Cox Regression for Large-scale Inference with Applications to Electronic Health Records Alexander Wolfgang Jung and Moritz Gerstung
Statistical Modeling of Longitudinal Medical Cost Trajectory with Insurance Claims Data Shikun Wang
Cytopt: Optimal Transport with Domain Adaptation for Interpreting Flow Cytometry Data Paul Freulon, Jérémie Bigot, and Boris Hejblum
A Tensor Decomposition Model for Longitudinal Microbiome Studies Siyuan Ma and Hongzhe Li
A Rotation-Based Feature and Bayesian Hierarchical Model for the Forensic Evaluation of Handwriting Evidence in a Closed Set Amy M Crawford, Danica M Ommen, and Alicia Carriquiry
Knockoffs with Side Information Zhimei Ren and Emmanuel Candès
Latent Multivariate Log-Gamma Models for High-Dimensional Multi-Type Responses with Application to Daily Fine Particulate Matter and Mortality Counts Zhixing Xu, Jonathan Ray Bradley, and Debajyoti Sinha
Identification of immune response combinations associated with heterogeneous infection risk in the immune correlate analysis of HIV vaccine studies Chae Ryon Kang and Ying Huang
Bayesian Analysis for Imbalanced Positive-Unlabelled Diagnosis Codes in Electronic Health Records Ru Wang, Ye Liang, Zhuqi Miao, and Tieming Liu
Surrogate marker assessment using mediation and instrumental variable analyses in a case-cohort design Yen-Tsung Huang, Jih-Chang Yu, and Jui-Hsiang Lin
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery Trey McNeely, Galen Vincent, Kimberly M Wood, Rafael Izbicki, and Ann B Lee
A Bayesian accelerated failure time model for interval-censored three-state screening outcomes Thomas Klausch, Eddymurphy U. Akwiwu, Mark A. van de Wiel, Veerle M.H. Coupé, and Johannes Berkhof
LOCUS: A regularized blind source separation method with low-rank structure for investigating brain connectivity Yikai Wang and Ying Guo
Real-Time Mechanistic Bayesian Forecasts of Covid-19 Mortality Graham Casey Gibson, Nicholas Reich, and Daniel Sheldon
Simulating flood event sets using extremal principal components Christian Rohrbeck and Daniel Cooley
Estimating Global and Country-Specific Excess Mortality During the COVID-19 Pandemic Jon Wakefield, Victoria Knutson, Serge Aleshin-Guendel, Ariel Karlinsky, and William Msemburi
Dynamic risk prediction triggered by intermediate events using survival tree ensembles Yifei Sun, Sy Han Chiou, Colin Wu, Meghan McGarry, and Chiung-Yu Huang
Mixed-frequency extreme value regression: estimating the effect of Mesoscale Convective Systems on extreme rainfall intensity Debbie J. Dupuis and Luca Trapin
Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference Luke Kelly, Robin Ryder, and Grégoire Clarté
Co-clustering of Spatially Resolved Transcriptomic Data Andrea Sottosanti and Davide Risso
Balancing Weights for Region-Level Analysis: The Effect of Medicaid Expansion on the Uninsurance Rate Among States That did not Expand Medicaid Max Rubinstein, Amelia Haviland, and David Choi
Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach Beomjo Park, Mikael Kuusela, Donata Giglio, and Alison Gray
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support Jouni Kuha, Siliang Zhang, and Fiona Steele
A Bayesian panel VAR model to analyze the impact of climate change on high-income economies Florian Huber, Tamas Krisztin, and Michael Pfarrhofer
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error Sarah Peskoe, Ning Zhang, Donna Spiegelman, and Molin Wang
Calibration of Spatio-Temporal Forecasts from Citizen Science Urban Air Pollution Data with Sparse Recurrent Neural Networks Matthew Bonas and Stefano Castruccio
Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design Bingkai Wang, Suzanne M. Dufault, Dylan S. Small, and Nicholas P. Jewell
Variational Bayesian Analysis of Nonhomogeneous Hidden Markov Models with Long and Ultra-long Sequences Xinyuan Chen, Yiwei Li, Joseph Chang, and Xiangnan Feng
Tracking hematopoietic stem cell evolution in a Wiskott-Aldrich clinical trial Danilo Pellin, Luca Biasco, Serena Scala, Maria-Clelia di Serio, and Ernst C Wit
How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions Adam Peterson, Veronica Berrocal, Emma Sanchez-Vaznaugh, and Brisa Sanchez
Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data Wanjie Wang, Zhang Eric Chen, and Hongzhe Li
Distinct: a novel approach to differential distribution analyses Simone Tiberi, Helena L Crowell, Pantelis Samartsidis, Lukas M Weber, and Mark D Robinson
Bayesian Modeling of Interaction between Features in Sparse Multivariate Count Data with Application to Microbiome Study Shuangjie Zhang, Yuning Shen, Irene A. Chen, and Juhee Lee
The Risk of Maternal Complications After Cesarean Delivery: Near-Far Matching for Instrumental Variables Study Designs with Large Observational Datasets Ruoqi Yu, Rachel Kelz, Scott Lorch, and Luke Keele
Integrating Multiple Built Environment Data Sources Jung Yeon Won
Marginally Calibrated Response Distributions for End-to-End Learning in Autonomous Driving Clara Hoffmann and Nadja Klein
Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs TingFang Lee, Ashley Buchanan, Natiallia Katenka, Laura Forastiere, M.  Elizabeth Halloran, Samuel Friedman, and Georgios Nikolopoulos
Leveraging Hardy-Weinberg Disequilibrium for Association Testing in Case-Control Studies Lin Zhang, Lisa Johanna Strug, and Lei Sun
Probabilistic Learning of Treatment Trees in Cancer Tsung-Hung Yao, Zhenke Wu, Karthik Bharath, Jinju Li, and Veerabhadran Baladandayuthapani
Sequentially valid tests for forecast calibration Alexander Henzi, Sebastian Arnold, and Johanna F. Ziegel
Bayesian Additive Regression Trees for Genotype Byenvironment Interaction Models Danilo Augusto Sarti, Estevão Batista Prado, Alan N. Inglis, Antônia Alessandra Lemos Dos Santos, Catherine B. Hurley, Rafael Andrade Moral, and Andrew C. Parnell
Bivariate Hierarchical Bayesian Model for Combining Summary Measures and Their Uncertainties from Multiple Sources Yujing Yao, R. Todd Ogden, Chubing Zeng, and Qixuan Chen
A Multi-Agent Reinforcement Learning Framework for Treatment Effects Evaluation in Two-sided Markets Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, and Hongtu Zhu
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration Nanwei Wang, Helene Massam, Xin Gao, and Laurent Briollais
A High-dimensional Approach to Measure Connectivity in the Financial Sector Sumanta Basu, George Michailidis, Sreyoshi Das, and Amiyatosh Purnanandam
A Bayesian Hierarchical Model Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts Stephen Alexander Walsh
Joint Point and Variance Estimation under a Hierarchical Bayesian model for Survey Count Data Terrance Dean Savitsky, Julie Gershunskaya, and Mark Crankshaw
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, and Wei Pan
Dynamic Prediction of Residual Life with Longitudinal Covariates Using Long Short-Term Memory Networks Grace Rhodes, Marie Davidian, and Wenbin Lu
Post-election Analysis of Presidential Election/Poll Data Jiming Jiang, Yuanyuan Li, and Peter X. K. Song
Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations Megan Gelsinger, Maryclare Griffin, David Matteson, and Joseph Guinness
Graph-aware Modeling of Brain Connectivity Networks Yura Kim, Daniel Kessler, and Elizaveta Levina
Bayesian model selection: Application to adjustment of fundamental physical constants Olha Bodnar and Viktor Eriksson
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness Rob Trangucci, Yang Chen, and Jon Zelner
Leveraging Population Outcomes to Improve the Generalization of Experimental Results: Application to the JTPA Study Melody Huang, Naoki Egami, Erin Hartman, and Luke Miratrix
Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs TingFang Lee, Ashley Buchanan, Natiallia Katenka, Laura Forastiere, M.  Elizabeth Halloran, Samuel Friedman, and Georgios Nikolopoulos
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers Chul Moon, Qiwei Li, and Guanghua Xiao
Bayesian Combinatorial Multi-Study Factor Analysis Isabella N Grabski, Roberta N. Devito, Lorenzo Trippa, and Giovanni Parmigiani
Using Proxies to Improve Forecast Evaluation Hajo Holzmann and Bernhard Klar
Bayesian Nonparametric Mixture Modeling for Temporal Dynamics of Gender Stereotypes Maria De Iorio, Stefano Favaro, Alessandra Guglielmi, and Lifeng Ye
The Bayesian Nested Lasso for Mixed Frequency Regression Models George Michailidis
Spatial quantile autoregression for season within year daily maximum temperature data Jorge Castillo-Mateo, Jesús Asín, Ana C. Cebrián, Alan E. Gelfand, and Jesús Abaurrea
A dynamic screening algorithm for hierarchical binary marketing data Yimei Fan, Yuan Liao, Ilya O Ryzhov, and Kunpeng Zhang
Penalized Estimating Equations for Generalized Linear Models with Multiple Imputation Yang Li, Haoyu Yang, Haochen Yu, Hanwen Huang, and Ye Shen
Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests Purvasha Chakravarti, Mikael Kuusela, Jing Lei, and Larry Wasserman
Subbotin Graphical Models for Extreme Value Dependencies with Applications to Functional Neuronal Connectivity Andersen Chang and Genevera I. Allen
Doubly-online changepoint detection for monitoring health status during sports activities Mattia Stival, Mauro Bernardi, and Petros Dellaportas
Signal-noise ratio of genetic associations and statistical power of SNP-set tests Hong Zhang, Ming Liu, Jiashun Jin, and Zheyang Wu
Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized HIV Treatment Strategies Larry Dong, Erica Eleanor Margret Moodie, Laura Villain, and Rodolphe Thiébaut
Imputation Scores Meta-Lina Spohn, Jeffrey Näf, Loris Michel, and Nicolai Meinshausen
An Efficient Doubly-Robust Imputation Framework for Longitudinal Dropout, with an Application to an Alzheimer’s Clinical Trial Yuqi Qiu and Karen Messer
A Bayesian Growth Mixture Model for Complex Survey Data: Clustering Post-Disaster PTSD Trajectories Rebecca Anthopolos, Qixuan Chen, Joseph Sedransk, Mary Thompson, Gang Meng, and Sandro Galea
Estimating HIV epidemics for sub-national areas Le Bao, Xiaoyue Niu, Mary Mahy, and Peter Ghys
Joint modeling of playing time and purchase propensity in massively multiplayer online role playing games using crossed random effects Trambak Banerjee, Peng Liu, Gourab Mukherjee, Shantanu Dutta, and Hai Che
Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data Thi Kim Hue Nguyen, Koen Van den Berge, Monica Chiogna, and Davide Risso
Bayesian Inference and Dynamic Prediction for Multivariate Longitudinal and Survival Data Haotian Zou, Donglin Zeng, Luo Xiao, and Sheng Luo
Estimating Garch(1,1) in the Presence of Missing Data Damien C.H. Wee, Feng Chen, and William T.M. Dunsmuir
SNIP: An Adaptation of Sorted Neighborhood Methods for Deduplicating Pedigree Data Theodore Huang, Matthew Ploenzke, and Danielle Braun
A Horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging Francesco Denti, Ricardo Azevedo, Chelsie Lo, Damian G. Wheeler, Sunil P. Gandhi, Michele Guindani, and Babak Shahbaba
Predictive inference for travel time on transportation networks Mohamad Elmasri, Aurelie Labbe, Denis Larocque, and Laurent Charlin
A Framework for Covariate-Specific ROC Curve Estimation, with Application to Biometric Recognition Xiaochen Zhu, Martin Slawski, and Liansheng Tang
Using Predictability to Improve Matching of Urban Locations In Philadelphia Colman Humphrey, Ryan Gross, Dylan Small, and Shane Jensen
Varying impacts of letters of recommendation on college admissions Eli Ben-Michael, Avi Feller, and Jesse Rothstein
A Semi-parametric Promotion Time Cure Model with Support Vector Machine Suvra Pal and Wisdom Aselisewine
Bayesian Hierarchical Modeling and Analysis for Physical Activity Trajectories Using Actigraph Data Pierfrancesco Alaimo Di Loro, Marco Mingione, Jonah Lipsitt, Christina Batteate, Michael B Jerrett, and Sudipto Banerjee
Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse Events ontology Bangyao Zhao, Yuan Zhong, Jian Kang, and Lili Zhao
Statistical paradoxes in coronavirus case-counts: selection bias, measurement error, and the COVID-19 pandemic
Walter Dempsey
Pairwise Nonlinear Dependence Analysis of Genomic Data Siqi Xiang, Wan Zhang, Siyao Liu, Katherine A Hoadley, Charles M. Perou, Kai Zhang, and J.S. Marron
Generalized Matrix Decomposition Regression: Estimation and Inference for Two-Way Structured Data Yue Wang, Ali Shojaie, Timothy Randolph, Parker Knight, and Jing Ma
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li, Tianxi Cai, and Rui Duan
Building a Dose Toxo-Equivalence Model From a Bayesian Meta-Analysis of Published Clinical Trials Elizabeth Anne Sigworth, Samuel Rubinstein, Jeremy Warner, Yong Chen, and Qingxia Chen
A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants Thierry Chekouo, Francesco C. Stingo, Shariq Mohammed, Arvind Rao, and Veerabhadran Baladandayuthapani
A Bayesian Decision Framework for Optimizing Sequential Combination Antiretroviral Therapy in People with HIV Wei Jin, Yang Ni, Jane O’Halloran, Amanda Spence, Leah Rubin, and Yanxun Xu
A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data Claire Heffernan, Roger D Peng, Drew Gentner, Kirsten Koehler, and Abhirup Datta
Data-driven chimney fire risk prediction using machine learning and point process tools Changqing Lu, Marie-Colette van Lieshout, Maurits de Graaf, and Paul Visscher
When Ecological Individual Heterogeneity Models and Large Data Collide: An Importance Sampling Approach Ruth King, Blanca Sarzo, and Victor Elvira
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation Agnese Marcelli, Rosa Maria Di Biase, Piermaria Corona, Stephen V. Stehman, and Lorenzo Fattorini
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data Duncan Paul Lee
Stochastic declustering of earthquakes with the spatiotemporal RETAS model Tom Stindl and Feng Chen
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data Rui Xie, Shuyang Bai, and Ping Ma
A Riemann Manifold Model Framework for Longitudinal Changes in Physical Activity Patterns Jingjing Zou, Tuo Lin, Chongzhi Di, John Bellettiere, Marta M. Jankowska, Sheri J. Hartman, Dorothy D. Sears, Andrea Z. LaCroix, Cheryl L. Rock, and Loki Natarajan
A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics Mohamed Abba, Jonathan Williams, and Brian James Reich
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation Andrea Cappozzo, Francesca Ieva, and Giovanni Fiorito
RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data Xinlei Mi, William Bekerman, Peter A. Sims, Peter D. Canoll, and Jianhua Hu