A Note on Transition Models for Binary 2×2 Cross-Over Data

Kurosawa T, Shimokawa A and Miyaoka E
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Kurosawa T: Department of Applied Mathematics, Tokyo University of Science, Japan
Shimokawa A: Department of Mathematics, Tokyo University of Science, Japan
Miyaoka E: Department of Mathematics, Tokyo University of Science, Japan

Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 5, 141-146

Abstract: This paper presents a transition model within the framework of a generalized linear model for binary cross-over data. As a simple example, an analysis of binary 2×2 cross-over data on cerebrovascular deficiency is used to illustrate the model. Several simulation studies are carried out to assess the asymptotic properties of the estimators of the parameters included in the model, with finite sample size, and to compare common methods with respect to the hypothesis test corresponding to the treatment effect. As a main result, we show that the estimators’ asymptotic properties work with a moderate sample size, and the transition model takes the highest value with respect to the empirical power among the compared methods.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:5:p:141-146

DOI: 10.19080/BBOAJ.2017.03.555622

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