Educational note: Paradoxical collider effect in the analysis of non-communicable disease epidemiological data: a reproducible illustration and web application.

Luque-Fernandez, Miguel Angel; Schomaker, Michael; Redondo-Sanchez, Daniel; Perez, Maria Jose Sanchez; Vaidya, Anand; Schnitzer, Mireille E; (2021) Educational note: Paradoxical collider effect in the analysis of non-communicable disease epidemiological data: a reproducible illustration and web application. International journal of epidemiology, 50 (2). 699-. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyab006

Abstract

The corrigendum to this article published on 10 December 2019 (https://doi.org/10.1093/ije/dyz247) referred to corrections made to the code in Box 2. These corrections were in fact, incorrect, as was the sentence referring to Box 2. The correct text and Box 2 code is as follows (changes shown in bold). “The true causal coefficient of the exposure A is 0.3, and the coefficients for the association of the collider C with the exposure A and the outcome Y are 1.2 and 0.9, respectively (Box 2).”

Additional Information

Item Type	Article
Faculty and Department	Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Research Centre	Inequalities in Cancer Outcomes Network
PubMed ID	33462617
Elements ID	155867