25 citations · 30 across the 8 of their papers we have counts for
8 papers
Weighting methods for truncation by death in cluster-randomized trials
Dane Isenberg, Michael Harhay, Nandita Mitra +1
Patient-centered outcomes, such as quality of life and length of hospital stay, are the focus in a wide array of clinical studies. However, participants in randomized trials for el…
Group sequential two-stage preference designs
Ruyi Liu, Fan Li, Denise Esserman +1
The two-stage preference design (TSPD) enables the inference for treatment efficacy while allowing for incorporation of patient preference to treatment. It can provide unbiased est…
PStrata: An R Package for Principal Stratification
Bo Liu, Fan Li
Post-treatment confounding is a common problem in causal inference, including special cases of noncompliance, truncation by death, surrogate endpoint, etc. Principal stratification…
Principal Stratification with Time-to-Event Outcomes
Bo Liu, Lisa Wruck, Fan Li
Post-randomization events, also known as intercurrent events, such as treatment noncompliance and censoring due to a terminal event, are common in clinical trials. Principal strati…
Using propensity scores for racial disparities analysis
Fan Li
Propensity score plays a central role in causal inference, but its use is not limited to causal comparisons. As a covariate balancing tool, propensity score can be used for control…
Power analysis for cluster randomized trials with continuous co-primary endpoints
Siyun Yang, Mirjam Moerbeek, Monica Taljaard +1
Pragmatic trials evaluating health care interventions often adopt cluster randomization due to scientific or logistical considerations. Previous reviews have shown that co-primary…