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Calculation of polychotomous logistic regression parameters using individualized regressions. (English) Zbl 0533.62089

Summary: The use of individualized logistic regression, in which a series of separate simple logistic regression analyses are performed as a replacement for polychotomous logistic regression, is studied. The asymptotic relative efficiencies of the individual parameter estimates are observed to be generally high, as are the efficiencies of predicted probability estimates and, to a somewhat lesser extent, joint tests of parameters from different regressions.

MSC:

62P10 Applications of statistics to biology and medical sciences; meta analysis
62E20 Asymptotic distribution theory in statistics
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