Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study-Reference-Cited by-同舟云学术

Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study

Published:2019-09-05 Issue:1 Volume:20 Page:
ISSN:1745-6215
Container-title:Trials
language:en
Short-container-title:Trials

Author:

Young Jessica G.^ORCID,Vatsa Rajet,Murray Eleanor J.,Hernán Miguel A.

Funder

Patient-Centered Outcomes Research Institute

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1186/s13063-019-3577-z.pdf

Reference17 articles.

1. Hernán MA, Robins JM. Per-protocol analyses of pragmatic trials. N Engl J Med. 2017; 14:1391–8.

2. Hernán MA, Hernández-Díaz S. Beyond the intention-to-treat in comparative effectiveness research. Clin Trials. 2012; 1:48–55.

3. Robins JM. A new approach to causal inference in mortality studies with a sustained exposure period: application to the healthy worker survivor effect. Math Model. 1986; 7:1393–512.

4. Robins JM. Addendum to “A new approach to causal inference in mortality studies with a sustained exposure period: application to the healthy worker survivor effect”. Comput Math Appl. 1987; 14:923–45.

5. Robins JM. Health service research methodology: a focus on AIDS In: Sechrest L, Freeman H, Mulley A, editors. Washington, DC: US Public Health Service, National Center for Health Services Research: 1989. p. 113–59.

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