Multiply robust estimators of causal effects for survival outcomes-Reference-Cited by-同舟云学术

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Multiply robust estimators of causal effects for survival outcomes

Published:2021-12-27 Issue: Volume: Page:
ISSN:0303-6898
Container-title:Scandinavian Journal of Statistics
language:en
Short-container-title:Scandinavian J Statistics

Author:

Wen Lan¹²^ORCID,Hernán Miguel A.¹²³,Robins James M.¹²³

Affiliation:

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

2. CAUSALab Harvard T.H. Chan School of Public Health Boston Massachusetts USA

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

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12561

Reference53 articles.

1. Estimating effects with rare outcomes and high dimensional covariates: Knowledge is power;Balzer L.;Epidemiologic Methods,2016

2. Doubly robust estimation in missing data and causal inference models;Bang H.;Biometrics,2005

3. Design and analysis considerations for a sequentially randomized HIV prevention trial;Benkeser D.;Statistics in Biosciences,2020

4. One‐step targeted maximum likelihood estimation for time‐to‐event outcomes;Cai W.;Biometrics,2019

5. Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data;Cao W.;Biometrika,2009

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