A combined score test for binary and ordinal endpoints from clinical trials.

Whitehead, John and Branson, Michael and Todd, Susan (2010) A combined score test for binary and ordinal endpoints from clinical trials. Statistics in Medicine, 29 (5). pp. 521-532. ISSN 1097-0258

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Abstract

There is growing interest, especially for trials in stroke, in combining multiple endpoints in a single clinical evaluation of an experimental treatment. The endpoints might be repeated evaluations of the same characteristic or alternative measures of progress on different scales. Often they will be binary or ordinal, and those are the cases studied here. In this paper we take a direct approach to combining the univariate score statistics for comparing treatments with respect to each endpoint. The correlations between the score statistics are derived and used to allow a valid combined score test to be applied. A sample size formula is deduced and application in sequential designs is discussed. The method is compared with an alternative approach based on generalized estimating equations in an illustrative analysis and replicated simulations, and the advantages and disadvantages of the two approaches are discussed.

Item Type:
Journal Article
Journal or Publication Title:
Statistics in Medicine
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700/2713
Subjects:
?? binary responses • generalized estimating equations • global tests • ordered categorical responses • score statistics • stroke trialsepidemiologystatistics and probabilityqa mathematics ??
ID Code:
33510
Deposited By:
Deposited On:
25 May 2010 10:27
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 11:00