Applying the Causal Roadmap to longitudinal national registry data in Denmark: A case study of second-line diabetes medication and dementia

The Causal Roadmap is a formal framework for causal and statistical inference that supports clear specification of the causal question, interpretable and transparent statement of required causal assumptions, robust inference, and optimal precision. The Roadmap is thus particularly well suited to eva...

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Bibliographic Details

Published in:	Journal of Causal Inference
Main Authors:	Nance Nerissa, Mertens Andrew, Gerds Thomas Alexander, Wang Zeyi, Torp-Pedersen Christian, van der Laan Mark, Kvist Kajsa, Lange Theis, Zareini Bochra, Petersen Maya L.
Format:	Article
Language:	English
Published:	De Gruyter 2025-10-01
Subjects:	diabetes causal roadmap dementia case study registry data 62-07
Online Access:	https://doi.org/10.1515/jci-2024-0014