Commentary: Quantifying the unknown unknowns
Author:
Affiliation:
1. Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
2. Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
Funder
Netherlands Organization for Scientific Research
ZonMW-Vidi project
Leiden University Medical Centre
Publisher
Oxford University Press (OUP)
Subject
General Medicine,Epidemiology
Link
http://academic.oup.com/ije/article-pdf/49/5/1503/34947248/dyaa092.pdf
Reference15 articles.
1. Interpretation of epidemiologic studies very often lacked adequate consideration of confounding;Hemkens;J Clin Epidemiol,2018
2. Quality of reporting of confounding remained suboptimal after the STROBE guideline;Pouwels;J Clin Epidemiol,2016
3. Poor quality of reporting confounding bias in observational intervention studies: a systematic review;Groenwold;Ann Epidemiol,2008
4. Assessing the sensitivity of regression results to unmeasured confounders in observational studies;Lin;Biometrics,1998
5. Applying Quantitative Bias Analysis to Epidemiologic Data
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