Publication Type
Journal Article
Version
publishedVersion
Publication Date
1-2001
Abstract
The use of surrogate end points has become increasingly common in medical and biological research. This is primarily because, in many studies, the primary end point of interest is too expensive or too difficult to obtain. There is now a large volume of statistical methods for analysing studies with surrogate end point data. However, to our knowledge, there has not been a comprehensive review of these methods to date. This paper reviews some existing methods and summarizes the strengths and weaknesses of each method. It also discusses the assumptions that are made by each method and critiques how likely these assumptions are met in practice.
Keywords
Auxiliary information, Censoring, Coarsening, Markov process, Missing values, Surrogate end points
Discipline
Econometrics
Research Areas
Econometrics
Publication
Journal of the Royal Statistical Society: Series A
Volume
164
Issue
3
First Page
485
Last Page
503
ISSN
0952-8385
Identifier
10.1111/1467-985X.00215
Publisher
Royal Statistical Society
Citation
LEUNG, Denis H. Y..
Statistical methods for clinical studies in the presence of surrogate end points. (2001). Journal of the Royal Statistical Society: Series A. 164, (3), 485-503.
Available at: https://ink.library.smu.edu.sg/soe_research/406
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1111/1467-985X.00215