Pairing regression and configurational analysis in health services research: modelling outcomes in an observational cohort using a split-sample design.

Configurational analysis and logistic regression represent different methods that can enhance our understanding of a data set when paired together. Configurational models optimise sensitivity with relatively few conditions. Logistic regression models discriminate cases from controls and provided inferential relationships between outcomes and independent variables.