6 papers · 1 filter
Semiparametric Bayesian inference for causal mediation in cluster randomized trials
Woojung Bae, Michael Daniels, Joseph Hogan +2
Cluster randomized trials (CRTs) are frequently used to evaluate interventions, yet conducting causal mediation analysis in these settings remains challenging, particularly when th…
Beyond Point Estimates: Reliable Evaluation of Prediction Performance Metrics under Clustered Data
Taekwon Hong, Daeyoung Lim, Woojung Bae
Prediction performance metrics such as accuracy and the F1 score are typically reported as single numbers, with no measure of uncertainty. The omission has been tolerable in explor…
Estimator-Aligned Prospective Sample Size Determination for Designs Using Inverse Probability of Treatment Weighting
Taekwon Hong, Daeyoung Lim, Woojung Bae +1
In observational studies, accurately characterizing variance is critical for sample size determination, yet unaccounted-for variability from propensity score estimation and the res…
A Causal Framework for Quantile Residual Lifetime
Taekwon Hong, Woojung Bae, Sang Kyu Lee +2
Estimating prognosis conditional on surviving an initial high-risk period is crucial in clinical research. Yet, standard metrics such as hazard ratios are often difficult to interp…
A general model-checking procedure for semiparametric accelerated failure time models
Dongrak Choi, Woojung Bae, Jun Yan +1
We propose a set of goodness-of-fit tests for the semiparametric accelerated failure time (AFT) model, including an omnibus test, a link function test, and a functional form test.…
A Bayesian Non-parametric Approach for Causal Mediation with a Post-treatment Confounder
Woojung Bae, Michael J. Daniels, Michael G. Perri
We propose a new Bayesian non-parametric (BNP) method for estimating the causal effects of mediation in the presence of a post-treatment confounder. We specify an enriched Dirichle…