Biometrical Letters Vol. 58(1), 2021, pp. 81-94
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MEASURE OF DEPARTURE FROM AVERAGE MARGINAL HOMOGENEITY FOR THE ANALYSIS OF COLLAPSED ORDINAL SQUARE CONTINGENCY TABLES Mana Aizawa1, Kouji Yamamoto2 and Sadao Tomizawa3 1Department of Information Sciences, Faculty of Science and Technology, Tokyo University of Science, Noda City, Chiba, 278-8510, Japan, e-mail: aizawa.m01@gmail.com 2Department of Biostatistics, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Japan e-mail: kouji_y@yokohama-cu.ac.jp 3Department of Information Sciences, Faculty of Science and Technology, Tokyo University of Science, Noda City, Chiba, 278-8510, Japan, e-mail: tomizawa@is.noda.tus.ac.jp |
In clinical research, collected data are often classified into ordered categories using a set threshold to evaluate efficacy and safety of treatment. Data can be summarized as a shift table, which displays the change in the frequency of subjects across specified categories from the baseline to post-baseline. Although ordered categories are sometimes recombined into three categories, the combined patterns vary. To consider various collapsed patterns comprehensively, this paper proposes a new measure that represents the degree of departure from average marginal homogeneity, and can distinguish between two kinds of marginal inhomogeneity. Additionally, applications of the proposed measure to clinical data are discussed.
Collapsed table, marginal homogeneity, measure
