<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

Measure of departure from average marginal homogeneity for the analysis of collapsed ordinal square contingency tables

Department of Information Sciences, Faculty of Science and Technology

Department of Biostatistics, School of Medicine

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In clinical research, collected data are often classified into ordered categories using a set threshold to evaluate efficacy and safety of treatment. Data can...

Measure of departure from average marginal homogeneity for the analysis of collapsed ordinal square contingency tables

Published Online: Jun 24, 2021

Page range: 81 - 94

DOI: https://doi.org/10.2478/bile-2021-0006

Keywords
Collapsed table, marginal homogeneity, measure

© 2021 Mana Aizawa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Measure of departure from average marginal homogeneity for the analysis of collapsed ordinal square contingency tables

Published Online: Jun 24, 2021

Page range: 81 - 94

DOI: https://doi.org/10.2478/bile-2021-0006

KeywordsCollapsed table, marginal homogeneity, measure

© 2021 Mana Aizawa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
Collapsed table, marginal homogeneity, measure