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Guidance for a causal comparative effectiveness analysis emulating a target trial based on big real world evidence: when to start statin treatment

The aim of this project is to describe a causal (counterfactual) approach for analyzing when to start statin treatment to prevent cardiovascular disease using real-world evidence. We use directed acyclic graphs to operationalize and visualize the causal research question considering selection bias,...

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Bibliographic Details
Published in:Journal of comparative effectiveness research 2019-09, Vol.8 (12), p.1013-1025
Main Authors: Kuehne, Felicitas, Jahn, Beate, Conrads-Frank, Annette, Bundo, Marvin, Arvandi, Marjan, Endel, Florian, Popper, Niki, Endel, Gottfried, Urach, Christoph, Gyimesi, Michael, Murray, Eleanor J, Danaei, Goodarz, Gaziano, Thomas A, Pandya, Ankur, Siebert, Uwe
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Language:English
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Summary:The aim of this project is to describe a causal (counterfactual) approach for analyzing when to start statin treatment to prevent cardiovascular disease using real-world evidence. We use directed acyclic graphs to operationalize and visualize the causal research question considering selection bias, potential time-independent and time-dependent confounding. We provide a study protocol following the ‘target trial’ approach and describe the data structure needed for the causal assessment. The study protocol can be applied to real-world data, in general. However, the structure and quality of the database play an essential role for the validity of the results, and database-specific potential for bias needs to be explicitly considered.
ISSN:2042-6305
2042-6313
DOI:10.2217/cer-2018-0103