Causal analyses of existing databases: the importance of understanding what can be achieved with your data before analysis (commentary on Hernán)
- PMID: 34560253
- DOI: 10.1016/j.jclinepi.2021.09.026
Causal analyses of existing databases: the importance of understanding what can be achieved with your data before analysis (commentary on Hernán)
Keywords: Causal analysis; Meta-analysis; Planning; Power; Sample size.
Conflict of interest statement
Declaration of interest None
Comment in
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Causal analysis of existing databases: no power calculations required. Responses to Campbell, Morris and Mansournia, et al.J Clin Epidemiol. 2022 Apr;144:193. doi: 10.1016/j.jclinepi.2021.11.039. Epub 2021 Dec 4. J Clin Epidemiol. 2022. PMID: 34875379 Free PMC article. No abstract available.
Comment on
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Causal analyses of existing databases: no power calculations required.J Clin Epidemiol. 2022 Apr;144:203-205. doi: 10.1016/j.jclinepi.2021.08.028. Epub 2021 Aug 27. J Clin Epidemiol. 2022. PMID: 34461211 Free PMC article.
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