Introduction to Time-dependent Confounders and Marginal Structural Models
Author:
Affiliation:
1. Department of Emergency and Critical Care Medicine, National Hospital Organization Mito Medical Center
2. Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo
Publisher
Society for Clinical Epidemiology
Link
https://www.jstage.jst.go.jp/article/ace/3/2/3_37/_pdf
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3. 3. Tam-Tham H, Quinn RR, Weaver RG, Zhang J, Ravani P, Liu P, et al. Survival Among Older Adults with Kidney Failure Is Better in the First Three Years with Chronic Dialysis Treatment Than Not. Kidney Int 2018;94:582–588.
4. 4. Mansournia MA, Etminan M, Danaei G, Kaufman JS, Collins G. Handling Time Varying Confounding in Observational Research. BMJ 2017;359:j4587.
5. 5. Schisterman EF, Cole SR, Platt RW. Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies. Epidemiology 2009;20:488–495.
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