6 papers
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…
Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
Woojung Bae, Taekwon Hong, Sang Kyu Lee +2
In Alzheimer's disease research, a clinically important question is how much longer individuals would remain dementia-free beyond a given time under different baseline amyloid stat…
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…
Diagnostics for Semiparametric Accelerated Failure Time Models with R Package afttest
Woojung Bae, Dongrak Choi, Jun Yan +1
The semiparametric accelerated failure time (AFT) model offers a direct and interpretable alternative to the Cox proportional hazards model, yet practical diagnostic tools for this…
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…