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Updated: Jan 19, 2026
Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
Guidance for a causal comparative effectiveness analysis emulating a target trial based on big real world evidence:
Felicitas Kuehne1, Beate Jahn1, Annette Conrads-Frank1
1Department of Public Health, Health Services Research & Health Technology Assessment, Institute of Public Health, Medical Decision Making & Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics & Technology, Hall iT, Austria.
Abstract:
Aim: 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. Methods: 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. Conclusion: 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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