Bounds on Direct Effects in the Presence of Confounded Intermediate Variables-Reference-Cited by-同舟云学术

Bounds on Direct Effects in the Presence of Confounded Intermediate Variables

Published:2007-12-19 Issue:3 Volume:64 Page:695-701
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Cai Zhihong¹,Kuroki Manabu²,Pearl Judea³,Tian Jin⁴

Affiliation:

1. Department of Biostatistics, Kyoto University School of Public Health, Yoshida‐Konoe‐cho, Sakyo‐ku, Kyoto 606‐8501, Japan

2. Department of Systems Innovation, Osaka University, 1‐3, Machikaneyama‐cho, Toyonaka, Osaka 560‐8531, Japan

3. Department of Computer Science, UCLA, 4532 Boelter Hall, Los Angeles, California 90024‐1596, U.S.A.

4. Department of Computer Science, Iowa State University, 226 Atanasoff Hall, Ames, Iowa 50011, U.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1541-0420.2007.00949.x

Reference18 articles.

1. Balke A.(1995).Probabilistic counterfactuals: Semantics computation and applications.Technical Report (R‐242) UCLA Cognitive Systems Laboratory(Ph.D. Thesis).

2. Bounds on Treatment Effects from Studies with Imperfect Compliance

3. Criteria for the Validation of Surrogate Endpoints in Randomized Experiments

4. Statistical validation of intermediate endpoints for chronic diseases

5. Identifiability, Exchangeability, and Epidemiological Confounding

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