Publication Type

Journal Article

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

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

https://doi.org/10.1111/1467-985X.00215

Included in

Econometrics Commons

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