Jason Roy

发表

Analyzing medical costs with time‐dependent treatment: The nested g‐formula

Nandita Mitra, Andrew Spieker, Jason Roy, 2018, Health economics.

Bayesian additive regression trees and the General BART model

Jason Roy, Yaoyuan Vincent Tan, J. Roy, 2019, Statistics in medicine.

Bayesian nonparametric generative models for causal inference with missing at random covariates

Michael J Daniels, Jason Roy, Kirsten J Lum, 2017, Biometrics.

A SEMIPARAMETRIC MODELING APPROACH USING BAYESIAN ADDITIVE REGRESSION TREES WITH AN APPLICATION TO EVALUATE HETEROGENEOUS TREATMENT EFFECTS.

Jason Roy, Bret Zeldow, Vincent Lo Re, 2018, The annals of applied statistics.

A Bayesian nonparametric approach to marginal structural models for point treatments and a continuous or survival outcome.

Michael J Daniels, Jason Roy, Kirsten J Lum, 2017, Biostatistics.

Clinical Utility of Machine Learning and Longitudinal EHR Data

Jimeng Sun, Shahram Ebadollahi, Walter F. Stewart, 2014, Machine Learning in Healthcare Informatics.

A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation

Arman Oganisian, Nandita Mitra, Jason Roy, 2018, Biometrics.

Addressing Positivity Violations in Causal Effect Estimation using Gaussian Process Priors

Nandita Mitra, Jason Roy, Yaqian Zhu, 2021 .

A framework for Bayesian nonparametric inference for causal effects of mediation

Michael J. Daniels, Jason Roy, Chanmin Kim, 2017, Biometrics.

Outcome identification in electronic health records using predictions from an enriched Dirichlet process mixture

James Flory, Jason Roy, Bret Zeldow, 2018, 1806.02411.

A review of covariate selection for non‐experimental comparative effectiveness research

Jason Roy, Tyler VanderWeele, T. VanderWeele, 2013, Pharmacoepidemiology and drug safety.

Principal stratification with predictors of compliance for randomized trials with 2 active treatments.

Joseph W Hogan, Jason Roy, Bess H Marcus, 2008, Biostatistics.

Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study

Harold I. Feldman, Jason Roy, Kerry A. Pierce, 2016, American Journal of Nephrology.

Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model

Jason Roy, J. Roy, 2003, Biometrics.

Methods for using clinical laboratory test results as baseline confounders in multi‐site observational database studies when missing data are expected

James Flory, Jason Roy, Kevin Haynes, 2016, Pharmacoepidemiology and drug safety.

C-C3-04: Using Electronic Health Record Data to Predict Heart Failure Diagnosis

Jason Roy, Nirav R. Shah, Walter F. Stewart, 2010, Clinical Medicine & Research.

Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates

Jason Roy, Xihong Lin, Xihong Lin, 2002 .

Scaled marginal models for multiple continuous outcomes.

Jason Roy, Xihong Lin, Xihong Lin, 2003, Biostatistics.

Bayesian Hierarchical Pattern Mixture Models for Comparative Effectiveness of Drugs and Drug Classes Using Healthcare Data: A Case Study Involving Antihypertensive Medications

Jason Roy, Sean Hennessy, J. Roy, 2011 .

A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times

Michael J Daniels, Jason Roy, M. Daniels, 2008, Biometrics.

Missing laboratory results data in electronic health databases: implications for monitoring diabetes risk.

Jason Roy, Marsha A Raebel, Kevin Haynes, 2017, Journal of comparative effectiveness research.

Comparative Effectiveness of Angiotensin‐Converting Enzyme Inhibitors and Angiotensin Receptor Blockers for Hypertension on Clinical End Points: A Cohort Study

Jason Roy, Sean Hennessy, J. Roy, 2012, Journal of clinical hypertension.

Evaluation of propensity scores, disease risk scores, and regression in confounder adjustment for the safety of emerging treatment with group sequential monitoring

Andrea J Cook, Jason Roy, Marsha A Raebel, 2016, Pharmacoepidemiology and drug safety.