Counterfactual prediction is not only for causal inference
Author:
Publisher
Springer Science and Business Media LLC
Subject
Epidemiology
Link
http://link.springer.com/content/pdf/10.1007/s10654-020-00659-8.pdf
Reference11 articles.
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3. Sperrin M, Martin GP, Pate A, Van Staa T, Peek N, Buchan I. Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models. Stat Med. 2018;37(28):4142–54.
4. van Geloven N, Swanson SA, Ramspek CL, et al. Prediction meets causal inference: the role of treatment in clinical prediction models. Eur J Epidemiol. 2020. https://doi.org/10.1007/s10654-020-00636-1 .
5. Hernán MA, Robins JM. Using big data to emulate a target trial when a randomized trial is not available. Am J Epidemiol. 2016;183(8):758–64.
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