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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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Published in: | Journal of comparative effectiveness research 2019-09, Vol.8 (12), p.1013-1025 |
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Main Authors: | , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 2042-6305 2042-6313 |
DOI: | 10.2217/cer-2018-0103 |