5 papers
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…
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…
Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending
Taekwon Hong, Wenbin Lu, Shu Yang +1
The COVID-19 pandemic presents challenges to both public health and the economy. Our objective is to examine how household expenditure, a significant component of private demand, r…