JSM 2004 - Toronto

Abstract #300382

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Activity Number: 437
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #300382
Title: A SAS Procedure for the Stuart-Maxwell Chi-Square Test and Its Application to Clinical Trials
Author(s): Jiang-Ming J. Wu*+
Companies: Forest Research Institute
Address: Harborside Financial Center, Jersey City, NJ, 07311,
Keywords: categorical data analysis ; contingency tables ; matched pairs ; SAS macros ; Stuart-Maxwell chi-square test
Abstract:

The Stuart-Maxwell chi-square test is a useful test procedure in categorical analysis that can be applied to rxr, r>=2, matched pairs contingency tables. It also includes the well known McNemar's test as a special case when r=2. In the pharmaceutical industry, the SAS language is the dominant software to be used for generating clinical tables, listings, and graphs. Unfortunately, there is no developed SAS procedure that can perform such a test. The author has written a SAS macro that can be used to perform this test. Examples of applying this SAS macro to analyze both an artificial dataset and a real world clinical dataset are presented. In addition to the macro itself, another advantage of this SAS macro is that it can be applied to some ill-conditioned sparse matrix cases where in theory these kinds of situations can not be determined. Discussions regarding some special cases as well as the developed SAS code that performs the Stuart-Maxwell chi-square test are also included and the developed SAS macro is free to all interested users.

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