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
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Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification |
Xiao Wang
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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
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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
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Bayesian Cox Regression for Large-scale Inference with Applications to Electronic Health Records |
Alexander Wolfgang Jung and Moritz Gerstung
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Statistical Modeling of Longitudinal Medical Cost Trajectory with Insurance Claims Data |
Shikun Wang
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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
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Knockoffs with Side Information |
Zhimei Ren and Emmanuel Candès
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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
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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
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Bayesian Analysis for Imbalanced Positive-Unlabelled Diagnosis Codes in Electronic Health Records |
Ru Wang, Ye Liang, Zhuqi Miao, and Tieming Liu
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Surrogate marker assessment using mediation and instrumental variable analyses in a case-cohort design |
Yen-Tsung Huang, Jih-Chang Yu, and Jui-Hsiang Lin
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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
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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
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Real-Time Mechanistic Bayesian Forecasts of Covid-19 Mortality |
Graham Casey Gibson, Nicholas Reich, and Daniel Sheldon
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Simulating flood event sets using extremal principal components |
Christian Rohrbeck and Daniel Cooley
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Estimating Global and Country-Specific Excess Mortality During the COVID-19 Pandemic |
Jon Wakefield, Victoria Knutson, Serge Aleshin-Guendel, Ariel Karlinsky, and William Msemburi
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Dynamic risk prediction triggered by intermediate events using survival tree ensembles |
Yifei Sun, Sy Han Chiou, Colin Wu, Meghan McGarry, and Chiung-Yu Huang
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Mixed-frequency extreme value regression: estimating the effect of Mesoscale Convective Systems on extreme rainfall intensity |
Debbie J. Dupuis and Luca Trapin
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Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference |
Luke Kelly, Robin Ryder, and Grégoire Clarté
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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
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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
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Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support |
Jouni Kuha, Siliang Zhang, and Fiona Steele
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A Bayesian panel VAR model to analyze the impact of climate change on high-income economies |
Florian Huber, Tamas Krisztin, and Michael Pfarrhofer
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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
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Calibration of Spatio-Temporal Forecasts from Citizen Science Urban Air Pollution Data with Sparse Recurrent Neural Networks |
Matthew Bonas and Stefano Castruccio
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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
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Variational Bayesian Analysis of Nonhomogeneous Hidden Markov Models with Long and Ultra-long Sequences |
Xinyuan Chen, Yiwei Li, Joseph Chang, and Xiangnan Feng
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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
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Distinct: a novel approach to differential distribution analyses |
Simone Tiberi, Helena L Crowell, Pantelis Samartsidis, Lukas M Weber, and Mark D Robinson
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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
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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
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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
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Probabilistic Learning of Treatment Trees in Cancer |
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath, Jinju Li, and Veerabhadran Baladandayuthapani
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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
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Bivariate Hierarchical Bayesian Model for Combining Summary Measures and Their Uncertainties from Multiple Sources |
Yujing Yao, R. Todd Ogden, Chubing Zeng, and Qixuan Chen
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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
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A Bayesian Hierarchical Model Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts |
Stephen Alexander Walsh
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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
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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
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Bayesian model selection: Application to adjustment of fundamental physical constants |
Olha Bodnar and Viktor Eriksson
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Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness |
Rob Trangucci, Yang Chen, and Jon Zelner
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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
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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
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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
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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
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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
|
A Dynamic Additive and Multiplicative Effects Network Model with Application to the United Nations Voting Behaviors |
Xiaoyue Maggie Niu, Bomin Kim, David Hunter, and Xun Cao
|
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans |
Cory McCartan and Kosuke Imai
|