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Causal analyses of existing databases: The importance of understanding what can be achieved with your data before analysis (commentary on Hernán)

Morris, TP; van Smeden, M; (2022) Causal analyses of existing databases: The importance of understanding what can be achieved with your data before analysis (commentary on Hernán). Journal of Clinical Epidemiology , 142 pp. 261-283. 10.1016/j.jclinepi.2021.09.026. Green open access

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Type: Article
Title: Causal analyses of existing databases: The importance of understanding what can be achieved with your data before analysis (commentary on Hernán)
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jclinepi.2021.09.026
Publisher version: https://doi.org/10.1016/j.jclinepi.2021.09.026
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Causal analysis, Sample size, Power, Meta-analysis, Planning
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10134915
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