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 1097-0258Full text not available from this repository.
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.
|Journal or Publication Title:||Statistics in Medicine|
|Uncontrolled Keywords:||binary responses • generalized estimating equations • global tests • ordered categorical responses • score statistics • stroke trials|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited By:||Mr Richard Ingham|
|Deposited On:||25 May 2010 11:27|
|Last Modified:||19 Jan 2017 01:43|
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