5 citations · 11 across the 8 of their papers we have counts for
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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…
Bayesian change-plane regression
Yuki Ohnishi, Fan Li
Change-plane regression represents treatment effect heterogeneity through an interpretable rule that assigns patients to two groups according to whether a linear score of baseline…
Locally Private Causal Inference for Randomized Experiments
Yuki Ohnishi, Jordan Awan
Local differential privacy is a differential privacy paradigm in which individuals first apply a privacy mechanism to their data (often by adding noise) before transmitting the res…
Degree of Interference: A General Framework For Causal Inference Under Interference
Yuki Ohnishi, Bikram Karmakar, Arman Sabbaghi
One core assumption typically adopted for valid causal inference is that of no interference between experimental units, i.e., the outcome of an experimental unit is unaffected by t…
A Bayesian Analysis of Two-Stage Randomized Experiments in the Presence of Interference, Treatment Nonadherence, and Missing Outcomes
Yuki Ohnishi, Arman Sabbaghi
Three critical issues for causal inference that often occur in modern, complicated experiments are interference, treatment nonadherence, and missing outcomes. A great deal of resea…