New article published in SAGE Research Methods Cases, March 2020

My research methods tutorial "Distinguishing Between Confounders and Effect Modifiers Using Stratified Analysis and Logistic Regression: A Case Study in Health Care Epidemiology" has just appeared online in SAGE Research Methods Cases.

This is an educational article aiming to be utilized as a teaching tool to explain basic epidemiological concepts on confounding and effect modification and demonstrate statistical techniques to handle these issues in applied research. I illustrate these through a case study based on own research project to estimate the national burden of healthcare-associated infections in Greece. The tutorial is directed to graduates in Medicine, Epidemiology, Public Health, and Biostatistics.

The article can be accessed here . If you cannot access this content please contact me for a copy.