Control of Confounding and Reporting of Results in Causal Inference Studies. Guidance for Authors from Editors of Respiratory, Sleep, and Critical Care Journals

J. Lederer, David; C. Bell, Scott; D. Branson, Richard; D. Chalmers, James; Marshall, Rachel; M. Maslove, David; E. Ost, David; M. Punjabi, Naresh; Schätz, Michael; R Smyth, Alan; W. Stewart, Paul; Suissa, Samy; A. Adjei, Alex; A. Akdiş, Cezmi; Azoulay, Élie; Bakker, Jan; K. Ballas, Zuhair; G. Bardin, Philip; Barreiro, Esther; Bellomo, Rinaldo; A. Bernstein, Jonathan; Brusasco, Vito; G. Buchman, Timothy; Chokroverty, Sudhansu; A. Collop, Nancy; D. Crapo, James; A. Fitzgerald, Dominic; Hale, Lauren; Hart, Nicholas; Herth, Felix; J. Iwashyna, Theodore; Jenkins, Gísli; Kolb, Martin; B. Marks, Guy; J. Mazzone, Peter; Randall Moorman, J.; M. Murphy, Thomas; L. Noah, Terry; N. Reynolds, Paul; Riemann, Dieter; Russell, Richard; Sheikh, Aziz; Sotgiu, Giovanni; R. Swenson, Erik; D. Szczesniak, Rhonda; Szymusiak, Ronald; Teboul, Jean–Louis; Vincent, Jean‐Louis

doi:10.1513/annalsats.201808-564ps

Public

Control of Confounding and Reporting of Results in Causal Inference Studies. Guidance for Authors from Editors of Respiratory, Sleep, and Critical Care Journals

Published in Annals of the American Thoracic Society • Sep 19, 2018

Authors:

David J. Lederer

Scott C. Bell

Richard D. Branson

Abstract

The 21st century has brought with it a welcome call for increased rigor in observational research methods (1, 2). It is not that observational research methods are inherently flawed – they are not (3, 4). Observational studies can contribute valuable evidence supporting causal associations when desi...

Subject

Confounding

Causal inference

Fallacy

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