A general approach to evaluating the bias of 2-stage instrumental variable estimators-Reference-Cited by-同舟云学术

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A general approach to evaluating the bias of 2-stage instrumental variable estimators

Published:2018-03-23 Issue:12 Volume:37 Page:1997-2015
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Wan Fei¹^ORCID,Small Dylan²^ORCID,Mitra Nandita³

Affiliation:

1. Department of Biostatistics; University of Arkansas for Medical Sciences; Little Rock AR USA

2. Department of Statistics; University of Pennsylvania; Philadelphia PA USA

3. Department of Biostatistics, Epidemiology and Informatics; University of Pennsylvania; Philadelphia PA USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference19 articles.

1. Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling;Terza;J Health Econ,2008

2. Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias;Cai;Stat Med,2011

3. Bias in estimating the causal hazard ratio when using two-stage instrumental variable methods;Wan;Stat Med,2015

4. Use of radical cystectomy for patients with invasive bladder cancer;Gore;J Natl Cancer Inst,2010

5. Comparative effectiveness of prostate cancer treatments: evaluating statistical adjustments for confounding in observational data;Hadley;J Natl Cancer Inst,2010

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3. Comparing the performance of two-stage residual inclusion methods when using physician's prescribing preference as an instrumental variable: unmeasured confounding and noncollapsibility;Journal of Comparative Effectiveness Research;2024-05

4. Unveiling challenges in Mendelian randomization for gene–environment interaction;Genetic Epidemiology;2024-02-29

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