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AbstractThis article describes log‐linear models as special cases of generalized linear models. Specifically, log‐linear models use a logarithmic link function. Log‐linear models are used to examine joint distributions of categorical variables, dependency relations, and association patterns.
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Throughout the last 15 or 20 years, social scientists have seen a substantial body of literature published in their journals on the subject of analyzing categorical or qualitative data. Many of these articles begin by bemoaning the fact that most of the multivariate statistical tools that social scientists have at their disposal, i.e., the tools that ...
Shiva S. Halli, K. Vaninadha Rao
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Strategies for the Selection of Log-Linear Models
Biometrics, 1978In a multidimensional contingency table strategies have been proposed to build log-linear models using either stepwise methods or standardized estimates of the parameters of the saturated model. Brown (1976) proposed a two-step procedure to screen effects and then test a subset of models.
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