Beyond logistic regression: structural equations modelling for binary variables and its application to investigating unobserved confounders

摘要

BackgroundStructural equation modelling (SEM) has been increasingly used in medical statistics for solving a system of related regression equations. However, a great obstacle for its wider use has been its difficulty in handling categorical variables within the framework of generalised linear models.