AI Article Synopsis
- * The authors expand this model to accommodate scenarios with two control groups, ensuring that the overall chance of incorrectly rejecting the null hypothesis (type I error rate) is maintained at a selected level.
- * They also provide a framework for determining the necessary sample size to achieve a desired level of test power, along with an example demonstrating the method's application in a clinical study.
Article Abstract
In clinical studies, ordered categorical responses are common. To compare the efficacy of several treatments with a control for ordinal responses, the normal latent variable model has recently been proposed. This approach conceptualizes the responses as manifestations of an underlying continuous normal variable. In this article, we extend this idea to develop the multiple comparison method for use when there are two controls in the clinical trial. The proposed method is constructed such that the familywise type I error rate is controlled at a prespecified level. In addition, for a given level of test power, the procedure to evaluate the required sample size is provided. The proposed testing procedure is also illustrated by an example from a clinical study.
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| http://dx.doi.org/10.1080/10543406.2016.1148707 | DOI Listing |
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