Comparative effectiveness research in COVID-19 using real-world data: methodological considerations
- PMID: 34463118
- PMCID: PMC8407277
- DOI: 10.2217/cer-2021-0179
Comparative effectiveness research in COVID-19 using real-world data: methodological considerations
Keywords: COVID-19; bias; comparative effectiveness studies; confounding; real-world data.
Conflict of interest statement
S Read, A Khachatryan, A Chandak and R Casciano are employees of Certara, which was contracted by Gilead Sciences for writing this manuscript (provided funding for this research). P Hodgkins, R Haubrich and E Mozaffari are employees and shareholders at Gilead Sciences. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
Gilead Sciences funded Certara to write this manuscript.
References
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- World Health Organization. WHO COVID-19 dashboard (2020). https://covid19.who.int/
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- Cox E, Martin BC, Van Staa T, Garbe E, Siebert U, Johnson ML. Good research practices for comparative effectiveness research: approaches to mitigate bias and confounding in the design of nonrandomized studies of treatment effects using secondary data sources: The International Society for Pharmacoeconomics and Outcomes Research Good Research Practices for Retrospective Database Analysis Task Force Report—Part II. Value Health 12(8), 1053–1061 (2009). - PubMed
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- Renoux C, Azoulay L, Suissa S. Biases in evaluating the safety and effectiveness of drugs for covid-19: designing real-world evidence studies. Am. J. Epidemiol. 190(8), 1452–1456 (2021). - PMC - PubMed
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• This helpful publication provides a thorough description of additional biases, including selection bias in COVID-19 studies.
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