Аннотация:The new version of the MDR method of performing identification of relevant factors within a given collection X1,...,Xn is introduced for stratified samples in the case of binary response variable Y . We establish a criterion of strong consistency of estimates (involving K-cross-validation procedure and penalty) for a specified prediction error function. The cost approach is proposed to compare experiments with random and nonrandom number of observations. Analytic results
are accompanied by simulations.