Information Recovery in a Study with Surrogate Endpoints

• Main Authors: CHEN, Song Xi, LEUNG, Denis H. Y., QIN, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2003
• Subjects: Auxiliary outcome; Bartlett correction; Bootstrap; Confidence regions; Empirical likelihood; Estimating equations; Surrogate end point; Econometrics
• Online Access: https://ink.library.smu.edu.sg/soe_research/159; https://ink.library.smu.edu.sg/context/soe_research/article/1158/viewcontent/Information_Recovery_in_a_Study_With_Surrogate_Endpoints.pdf
• Institution: Singapore Management University

Recently, there has been a lot of interest in statistical methods for analyzing data with surrogate endpoints. In this article, we consider parameter estimation from a model that relates a variable Y to a set of covariates, X, in the presence of a surrogate, S. We assume that the data are made up of...