Generalized reduced error logistic

Fuente: WIPO "rice"
The present disclosure is directed to a method for Generalized Reduced Error Logistic Regression (Generalized RELR). The method overcomes significant limitations in prior art logistic regression and non-generalized Reduced Error Logistic Regression (RELR) methods. The method is applicable to all current applications of logistic regression, but has significantly greater reliability and validity, using smaller sample sizes and large numbers of input variables, than prior art logistic regression methods. Further, unlike non-generalized RELR, the method of the present invention is not biased by the number of non-missing observations in independent variables. Rather, the method of the invention applies to repeated measures and multilevel designs. This Generalized RELR method also optimally scales solutions to achieve significantly greater accuracy than non-generalized RELR. This Generalized RELR method also automates variable selection to arrive at models with an optimal selection of variables. Variable selection features are not present in non-generalized RELR.