Reply to: Mendel’s laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues
Author:
Publisher
Springer Science and Business Media LLC
Subject
Epidemiology
Link
https://link.springer.com/content/pdf/10.1007/s10654-020-00652-1.pdf
Reference15 articles.
1. Mukamal KJ, Stampfer MJ, Rimm EB. Genetic instrumental variable analysis: time to call mendelian randomization what it is. The example of alcohol and cardiovascular disease. Eur J Epidemiol. 2019. https://doi.org/10.1007/s10654-019-00578-3.
2. Swanson SA, Tiemeier H, Ikram MA, Hernan MA. Nature as a Trialist?: Deconstructing the analogy between mendelian randomization and randomized trials. Epidemiology. 2017;28(5):653–9. https://doi.org/10.1097/EDE.0000000000000699.
3. Labrecque JA, Swanson SA. Interpretation and potential biases of Mendelian randomization estimates with time-varying exposures. Am J Epidemiol. 2019;188(1):231–8. https://doi.org/10.1093/aje/kwy204.
4. Davey Smith G, Holmes MV, Davies NM, Ebrahim S. Mendel's laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues. Eur J Epidemiol. 2020;35(2):99–111. https://doi.org/10.1007/s10654-020-00622-7.
5. Wehby GL, Ohsfeldt RL, Murray JC. 'Mendelian randomization' equals instrumental variable analysis with genetic instruments. Stat Med. 2008;27(15):2745–9. https://doi.org/10.1002/sim.3255.
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