3 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
Externally Controlled Trials: A Review of Design and Borrowing Through a Causal Lens
Ke Zhu, Rima Izem, Peng Yang +8
Externally controlled trials (ECTs) are increasingly used when randomized controls are infeasible, unethical, or insufficient, including applications in rare diseases, oncology, pe…
Design-based theory for causal inference
Xin Lu, Wanjia Fu, Hongzi Li +4
Causal inference, as a major research area in statistics and data science, plays a central role across diverse fields such as medicine, economics, education, and the social science…
Rejoinder to Reader Reaction "On exact randomization-based covariate-adjusted confidence intervals" by Jacob Fiksel
Ke Zhu, Hanzhong Liu
We applaud Fiksel (2024) for their valuable contributions to randomization-based inference, particularly their work on inverting the Fisher randomization test (FRT) to construct co…
Imputation-based randomization tests for randomized experiments with interference
Tingxuan Han, Ke Zhu, Hanzhong Liu +1
The presence of interference renders classic Fisher randomization tests infeasible due to nuisance unknowns. To address this issue, we propose imputing the nuisance unknowns and co…
Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments
Ke Zhu, Hanzhong Liu, Yuehan Yang
Blocking, a special case of rerandomization, is routinely implemented in the design stage of randomized experiments to balance the baseline covariates. This study proposes a regres…