Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials-Reference-Cited by-同舟云学术

Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials

Published:2022-02-16 Issue:12 Volume:41 Page:2132-2165
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Li Haodong¹^ORCID,Rosete Sonali¹,Coyle Jeremy¹,Phillips Rachael V.¹^ORCID,Hejazi Nima S.¹^ORCID,Malenica Ivana¹^ORCID,Arnold Benjamin F.²,Benjamin‐Chung Jade³,Mertens Andrew¹,Colford John M.¹,der Laan Mark J.¹,Hubbard Alan E.¹

Affiliation:

1. Divisions of Epidemiology & Biostatistics University of California, Berkeley Berkeley California USA

2. Proctor Foundation University of California, San Francisco San Francisco California USA

3. Epidemiology & Population Health Stanford University Stanford California USA

Funder

Bill and Melinda Gates Foundation

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9348

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