Marginal structural models using calibrated weights with SuperLearner: application to longitudinal diabetes cohort.

Marginal structural models using calibrated weights with SuperLearner: application to longitudinal diabetes cohort.

Although machine learning has permeated many disciplines, the convergence of causal methods and machine learning remains sparse in the existing literature. Our aim was to formulate a marginal structural model in which we envisioned hypothetical (i.e. counterfactual) dynamic treatment regimes using...

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Bibliographic Details
Main Authors: Sumeet Kalia, Michelle Greiver, Frank Sullivan, Ervin Sejdic, Michael Escobar, Jessica Gronsbell, Braden O'Neill, Christopher Meaney, Conrad Pow, Olli Saarela, Rahim Moineddin, Tao Chen, Babak Aliarzadeh
Format: Article
Language:English
Published: Swansea University 2022-08-01
Series:International Journal of Population Data Science
Subjects:
Causal inference
Chronic Disease Prevention
Electronic Health Records
Longitudinal Interventions
Machine Learning
Primary Care
Online Access:https://ijpds.org/article/view/1783

Internet

https://ijpds.org/article/view/1783

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