16 papers
Model-robust standardization in stepped wedge cluster randomized trials
Xi Fang, Xueqi Wang, Patrick J. Heagerty +2
Stepped-wedge cluster-randomized trials (SW-CRTs) are widely used in healthcare and implementation science, enabling all clusters to receive the intervention through a staggered ro…
Doubly cross-fit debiased machine learning of heterogeneous treatment effects under principal stratification
Jiaqi Tong, Fan Li
Principal stratification provides a foundational framework for causal inference with intermediate outcomes by defining causal effects within subpopulations, yet existing work has l…
Sensitivity analysis for causal mediation: bridge score, sharp sensitivity bounds, and calibration
Yuki Ohnishi, Fan Li
Causal mediation analysis decomposes the total treatment effect into a portion operating through a hypothesized mediator and a residual direct portion. Identification of natural di…
Sample size and power calculations for causal inference with time-to-event outcomes
Chengxin Yang, Bo Liu, Fan Li
This paper develops power and sample size formulas for causal inference with time-to-event outcomes. The target estimand is the marginal hazard ratio: the coefficient of a marginal…
Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization
Bingkai Wang, Fan Li
Rerandomization is an effective treatment allocation procedure to control for baseline covariate imbalance. For estimating the average treatment effect, rerandomization has been pr…
Causal inference with ordinal outcomes: copula-based identification, estimation and sensitivity analysis
Peiyu He, Fan Li
In causal inference with ordinal outcomes, several interpretable estimands are functions of the probability that the potential outcome under one treatment is larger than that under…