MEASURES OF VARIATION EXPLAINED BY BINARY REGRESSION(Categorical Data Analysis)

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概要

• 論文の詳細を見る

• In binary regression models we are interested in not only the parameter estimates and significance of explanatory variables, but also the degree to which variation in the response variable can be explained by explanatory variables. In this paper, we compare the behavior of proposed measures of explained variation for binary regression models through several case studies and indicate which measures should be accepted in practice. Furthermore, the importance of distinguishing measures of explained variation and goodness-of-fit is discussed. In conclusion, we recommend routine evaluation of the measures of explained variation in binary regression together with an exhaustive model which allows us to test the adequacy of simpler models such as the logistic model.

• 日本計算機統計学会の論文

著者

• Goto Masashi

  Division Of Mathematical Science Graduate School Of Engineering Science Osaka University

• Kawai Norisuke

  Biostatistics Group, Biometrics Department, Yamanouchi Pharmaceutical Co., Ltd.

• Goto Masashi

  Division of Statistical Science, Graduate School of Engineering Sciences, Osaka University

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• Preface
• MEASURES OF VARIATION EXPLAINED BY BINARY REGRESSION(Categorical Data Analysis)

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