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Models for the probability of concordance in cross-classification tables

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Abstract

For cross-classification tables having an ordinal response variable, logit and probit models are formulated for the probability that a pair of subjects is concordant. For multidimensional tables, generalized models are given for the probability that the response at one setting of explanatory variables exceeds the response at another setting. Related measures of association are discussed for two-way tables.

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Authors and Affiliations

  1. Department of Statistics, University of Florida, 32611, Gainesville, Florida, USA

    Alan Agresti, John Schollenberger & Dennis Wackerly

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  1. Alan Agresti
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  2. John Schollenberger
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  3. Dennis Wackerly
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Agresti, A., Schollenberger, J. & Wackerly, D. Models for the probability of concordance in cross-classification tables. Qual Quant 21, 49–57 (1987). https://doi.org/10.1007/BF00221714

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  • DOI: https://doi.org/10.1007/BF00221714

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