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

Conclusions 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.
Source: BMJ Open - Category: General Medicine Authors: Tags: Open access, Health services research Source Type: research