Showing 1–20 of 38 results
/ Date/ Name
Feb 13, 2020Sampling from Networks: Respondent-Driven SamplingFeb 1, 2023Revisiting the Effects of Maternal Education on Adolescents' Academic Performance: Doubly Robust Estimation in a Network-Based Observational StudyOct 26, 2023Bayesian Optimization for Personalized Dose-Finding Trials with Combination TherapiesJun 5, 2024Sparse two-stage Bayesian meta-analysis for individualized treatmentsSep 2, 2024Plasmode simulation for the evaluation of causal inference methods in homophilous social networksJan 27, 2026Personalized Treatment Hierarchies in Bayesian Network Meta-AnalysisMar 10, 2026A Bayesian adaptive enrichment design using aggregate historical data to inform individualized treatment recommendationsDec 10, 2025Information Borrowing from Partially Compatible Trajectories for Estimation of Dynamic Treatment RegimesJan 30, 2022Causal inference under mis-specification: adjustment based on the propensity scoreOct 24, 2022Dynamic Treatment Regimes using Bayesian Additive Regression Trees for Censored OutcomesApr 25, 2023The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approachApr 11, 2024Joint mixed-effects models for causal inference in clustered network-based observational studiesFeb 18, 2022Using Pilot Data to Size Observational Studies for the Estimation of Dynamic Treatment RegimesSep 8, 2021Causal Inference for Quantile Treatment EffectsNov 28, 2025Incorporating Missingness in a Framework for Generating Realistic Synthetic Randomized Controlled Trial DataSep 2, 2021Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized HIV Treatment StrategiesAug 2, 2021Bayesian Sample Size Calculations for SMART StudiesMar 27, 2023Bayesian inference for optimal dynamic treatment regimes in practiceDec 21, 2021Estimating the Marginal Effect of a Continuous Exposure on an Ordinal Outcome using Data Subject to Covariate-Driven Treatment and Visit ProcessesMay 13, 2024An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables