Optimal estimation in surrogate outcome regression problems

DOI10.1002/CJS.10086zbMath1349.62345OpenAlexW2157130628MaRDI QIDQ3086518

Jing Qin, Qi Hua Wang, Xiao-gang Duan

Publication date: 30 March 2011

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

Full work available at URL: https://doi.org/10.1002/cjs.10086

zbMATH Keywords

missing dataestimating equationspropensity scoresurrogate outcomeminimization of the trace of covariance matrix

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99)

Related Items (1)

Test the reliability of doubly robust estimation with missing response data

Cites Work

• Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
• The central role of the propensity score in observational studies for causal effects
• Inference using surrogate outcome data and a validation sample
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Miscellanea. A robust imputation method for surrogate outcome data
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• Criteria for the Validation of Surrogate Endpoints in Randomized Experiments
• Statistical Methods for Clinical Studies in the Presence of Surrogate End Points
• A Generalization of Sampling Without Replacement From a Finite Universe

This page was built for publication: Optimal estimation in surrogate outcome regression problems