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LOGISTIC REGRESSION
This relates to an EXPERIMENTAL DESIGN for predicting a binary categorical (yes/no) outome on the basis of predictor variables measured on INTERVAL SCALEs. For each of a set of values of the predictor variables, the outcomes are regarded as representing a BINOMIAL process, with the binomial parameter 'p' depending upon the value of the predictor variable. The modelling accounts for the logarithm of the ODDS RATIO as a linear function of the predictor variable. Fitting is via a weighted least-squares regression method. RANDOMISATION TESTS for this purpose have been developed by Mehta & Patel.
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