A comparison of discriminant function and maximum likelihood estimates of logistic coefficients for categorical-scaled data

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Abstract
Using a sampling experiment following an cpiderniologic study, the relative bias and relative mean square error related to the discriminant function and maximum likelihood procedures are explored. Interest was on investigating the relative estimating properties of these two approaches with respect to the specific logistic coefficients. In epidemiologic research these terms can be used as approximations to the odds ratio. Under the various conditions explored in the present paper, the maximum likelihood approach appears to be preferable when studying categorical data.