The computation of maximum likelihood estimates for the multiple logistic risk function for use with categorical data

A computing technique is described for the maximum likelihood estimation of multiple logistic coefficients. The method makes use of the marginal iterative proportional fitting system commonly applied in the analysis of multidimensional contingency tables. The estimated logistic coefficients for two...

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Bibliographic Details
Published inJournal of chronic diseases Vol. 28; no. 7; pp. 421 - 429
Main Authors Hartz, Stuart C., Rosenberg, Lynn A.
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.01.1975
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Summary:A computing technique is described for the maximum likelihood estimation of multiple logistic coefficients. The method makes use of the marginal iterative proportional fitting system commonly applied in the analysis of multidimensional contingency tables. The estimated logistic coefficients for two models fitted to a set of data are compared to those derived from the more traditional Newton-Raphson approach.
ISSN:0021-9681
DOI:10.1016/0021-9681(75)90037-5