Non-Parametric Tests for Distributional Treatment Effect for Randomly Censored Responses

DOI10.1111/j.1467-9868.2008.00683.xzbMath1231.62083OpenAlexW1975624711MaRDI QIDQ3551040

Myoung-jae Lee

Publication date: 8 April 2010

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2008.00683.x

zbMATH Keywords

censoringdurationMann-Whitney statistic

Mathematics Subject Classification ID

Related Items (8)

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests ⋮ Nonparametric Tests for the Effect of a Treatment on the Conditional Variance ⋮ Overlap weight and propensity score residual for heterogeneous effects: a review with extensions ⋮ Comparison of quantile regression curves with censored data ⋮ Tests for distributional treatment effects under unconfoundedness ⋮ A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS ⋮ Double robustness without weighting ⋮ Treatment effects in sample selection models and their nonparametric estimation

Cites Work

• Unnamed Item
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• Testing for the equality of two nonparametric regression curves
• Testing for superiority among two regression curves
• The central role of the propensity score in observational studies for causal effects
• Nonparametric Estimation for a Scale-Change with Censored Observations
• On distribution-free tests for equality of survival distributions
• Asymptotic Statistics
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
• Testing Statistical Hypotheses
• A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship

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