Parametric g‐formula implementations for causal survival analyses-Reference-Cited by-同舟云学术

Parametric g‐formula implementations for causal survival analyses

Published:2020-07-06 Issue:2 Volume:77 Page:740-753
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Wen Lan¹^ORCID,Young Jessica G.²,Robins James M.¹³,Hernán Miguel A.¹³⁴

Affiliation:

1. Department of Epidemiology Harvard T. H. Chan School of Public Health Boston Massachusetts

2. Department of Population Medicine Harvard Pilgrim Health Care Institute Boston Massachusetts

3. Department of Biostatistics Harvard T. H. Chan School of Public Health Boston Massachusetts

4. Harvard‐MIT Division of Health Sciences of Technology Boston Massachusetts

Funder

National Institute of Allergy and Infectious Diseases

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/biom.13321

Reference25 articles.

1. Doubly Robust Estimation in Missing Data and Causal Inference Models

2. When to Start Treatment? A Systematic Approach to the Comparison of Dynamic Regimes Using Observational Data

3. Hypothetical Midlife Interventions in Women and Risk of Type 2 Diabetes

4. Guideline-Based Physical Activity and Survival Among US Men With Nonmetastatic Prostate Cancer

5. Incidence of Adult-onset Asthma After Hypothetical Interventions on Body Mass Index and Physical Activity: An Application of the Parametric G-Formula

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