A multiply robust Mann-Whitney test for non-randomised pretest-posttest studies with missing data

DOI10.1080/10485252.2020.1736290zbMath1442.62099OpenAlexW3010359636MaRDI QIDQ5114477

Shixiao Zhang, Peisong Han, Changbao Wu

Publication date: 24 June 2020

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2020.1736290

zbMATH Keywords

missing at randomempirical likelihoodcausal inferencenonparametric testpropensity score

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10) Missing data (62D10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation
• Empirical likelihood inference for non-randomized pretest-posttest studies with missing data
• A further study of the multiply robust estimator in missing data analysis
• Semiparametric estimation of treatment effect in a pretest-posttest study with missing data (with comments and rejoinder)
• Mann–Whitney test with empirical likelihood methods for pretest–posttest studies
• An imputation based empirical likelihood approach to pretest-posttest studies
• Empirical Likelihood-Based Estimation of the Treatment Effect in a Pretest–Posttest Study
• Semiparametric Estimation of Treatment Effect in a Pretest‐Posttest Study
• Asymptotic Statistics
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Regression Models for the Analysis of Pretest/Posttest Data
• Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys
• Multiply Robust Estimation in Regression Analysis With Missing Data
• Efficiency Study of Estimators for a Treatment Effect in a Pretest–Posttest Trial
• A General Framework for Quantile Estimation with Incomplete Data
• Jackknife Empirical Likelihood
• OUP accepted manuscript
• Estimation with missing data: beyond double robustness
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
• Maximum Likelihood Estimation of Misspecified Models

This page was built for publication: A multiply robust Mann-Whitney test for non-randomised pretest-posttest studies with missing data