Get the most out of your data

What is the best way to examine complex datasets involving large samples or patient groups with multiple confounding factors, many of which are inter-dependent? Traditional approaches have used multivariate regression that allows the investigator control over these confounding factors. Nonetheless, regression is less effective at using these inter-dependent interactions as part of the analysis. Latent class analysis (LCA) is a statistical approach to parse samples or patient subjects into class membership.

Source: The Journal of Pediatrics - February 20, 2020 Category: Pediatrics Authors: James F. Padbury Tags: The Editors' Perspectives Source Type: research