Two‐stage residual inclusion for survival data and competing risks—An instrumental variable approach with application to SEER‐Medicare linked data-Reference-Cited by-同舟云学术

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Two‐stage residual inclusion for survival data and competing risks—An instrumental variable approach with application to SEER‐Medicare linked data

Published:2018-12-26 Issue:10 Volume:38 Page:1775-1801
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Ying Andrew¹,Xu Ronghui¹²^ORCID,Murphy James³

Affiliation:

1. Department of Mathematics University of California San Diego California

2. Department of Family Medicine and Public Health University of California San Diego California

3. Department of Radiation Medicine and Applied Sciences University of California San Diego California

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8071

Reference32 articles.

1. Identification of Causal Effects Using Instrumental Variables

2. Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies

3. Analysis of Observational Studies in the Presence of Treatment Selection Bias

4. Credible Mendelian Randomization Studies: Approaches for Evaluating the Instrumental Variable Assumptions

5. Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology

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