14 citations · 17 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Estimating Marginal Treatment Effect in Cluster Randomized Trials with Multi-level Missing Outcomes
Chia-Rui Chang, Rui Wang
Analyses of cluster randomized trials (CRTs) can be complicated by informative missing outcome data. Methods such as inverse probability weighted generalized estimating equations h…
stat.ME2022★ 14 cited
Covariate Adjustment in Randomized Clinical Trials with Missing Covariate and Outcome Data
Chia-Rui Chang, Yue Song, Fan Li +1
When analyzing data from randomized clinical trials, covariate adjustment can be used to account for chance imbalance in baseline covariates and to increase precision of the treatm…
cs.LG2021★ 3 cited
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang +9
dame-flame is a Python package for performing matching for observational causal inference on datasets containing discrete covariates. This package implements the Dynamic Almost Mat…