Non‐parametric tests for distributional treatment effect for randomly censored responses

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A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS (2014, background): “(20) Previous studies of distribution treatment effects include Abadie (2002), Lee (2009), Maier (2011), Chernozhukov et al. (2013), and Sant’Anna (2016).”
Nonparametric Tests for Treatment Effect Heterogeneity With Duration Outcomes (2016, background): “In the absence of censoring, Rosenbaum and Rubin (1983) showed that Assumption 2.”
From concepts, theory, and evidence of heterogeneity of treatment effects to methodological approaches: a primer (2012, background): “Lee proposes a kernel smoothed nonparametric test for heterogeneity of conditional treatment effects when covariates are continuous and the outcome variable is randomly censored [60].”