Using an instrumental variable to test for unmeasured confounding-Reference-Cited by-同舟云学术

Using an instrumental variable to test for unmeasured confounding

Published:2014-06-15 Issue:20 Volume:33 Page:3528-3546
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Guo Zijian¹,Cheng Jing²,Lorch Scott A.³,Small Dylan S.¹

Affiliation:

1. Department of Statistics, The Wharton School; University of Pennsylvania; Philadelphia PA 19104 U.S.A.

2. Division of Oral Epidemiology and Dental Public Health, School of Dentistry; University of California, San Francisco (UCSF); San Francisco CA 94143 U.S.A.

3. Department of Pediatrics; University of Pennsylvania; Philadelphia PA 19104 U.S.A.

Funder

National Institute of Mental Health

National Institute of Dental and Craniofacial Research

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference48 articles.

1. Identification of causal effects using instrumental variables (with discussion);Angrist;Journal of the American Statistical Association,1996

2. Bootstrap tests for distributional treatment effects in instrumental variable models;Abadie;Journal of the American Statistics Association,2002

3. Instruments for causal inference: an epidemiologist's dream?;Hernán;Epidemiology,2006

4. Regression and weighting methods for causal inference using instrumental variables;Tan;Journal of the American Statistical Association,2006

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records;Molecular Psychiatry;2024-03-14

2. Simple Tests for Selection: Learning More from Instrumental Variables;Labour Economics;2022-12

3. Multiply Robust Estimation of Causal Effects under Principal Ignorability;Journal of the Royal Statistical Society Series B: Statistical Methodology;2022-05-20

4. Behaviour within a Clinical Trial and Implications for Mammography Guidelines;The Review of Economic Studies;2022-05-09

5. Estimation of treatment effects in observational stroke care data: comparison of statistical approaches;BMC Medical Research Methodology;2022-04-10