Effect heterogeneity and variable selection for standardizing causal effects to a target population
Author:
Funder
Norges Forskningsråd
NWO/ZonMw Veni
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Epidemiology
Link
http://link.springer.com/content/pdf/10.1007/s10654-019-00571-w.pdf
Reference41 articles.
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3. Suzuki E, Tsuda T, Mitsuhashi T, Mansournia MA, Yamamoto E. Errors in causal inference: an organizational schema for systematic error and random error. Ann Epidemiol. 2016;26(11):788–93.
4. Huitfeldt A, Goldstein A, Swanson SA. The choice of effect measure for binary outcomes: introducing counterfactual outcome state transition parameters. Epidemiol Methods. 2018;7(1):14.
5. Dahabreh IJ, Hernán MA. Extending inferences from a randomized trial to a target population. Eur J Epidemiol. 2019;34(8):719–22.
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