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Response Variable Analysis in Contingency Tables

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Contingency Table Analysis

Part of the book series: Statistics for Industry and Technology ((SIT))

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Abstract

Logit models for binary, nominal, and ordinal responses are introduced in Chap. 8. In particular beyond the basic logit model for binary response, the baseline category logit, the cumulative logit, and the proportional odds models are presented. Also logit models for ordinal explanatory variables are considered as well as the logit analysis of stratified 2 × 2 contingency tables. Logit models are connected to association models and illustrated with examples, worked out in R.

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Authors and Affiliations

  1. Institute of Statistics, RWTH Aachen University, Aachen, Germany

    Maria Kateri

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  1. Maria Kateri
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Kateri, M. (2014). Response Variable Analysis in Contingency Tables. In: Contingency Table Analysis. Statistics for Industry and Technology. Birkhäuser, New York, NY. https://doi.org/10.1007/978-0-8176-4811-4_8

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