Bias-adjusted Kaplan–Meier survival curves for marginal treatment effect in observational studies-Reference-Cited by-同舟云学术

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Bias-adjusted Kaplan–Meier survival curves for marginal treatment effect in observational studies

Published:2019-07-04 Issue:4 Volume:29 Page:592-605
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Wang Xiaofei¹,Bai Fangfang²,Pang Herbert³,George Stephen L¹

Affiliation:

1. Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA

2. School of Statistics, University of International Business and Economics, Beijing, China

3. Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China

Funder

National Cancer Institute

National Institute on Aging

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2019.1633659

Reference34 articles.

1. The performance of different propensity score methods for estimating marginal odds ratios

2. A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality

3. Statistics in Medicine

4. Uniform improvement of empirical likelihood for missing response problem

5. Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting

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4. Visualizing the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome;Epidemiology;2023-06-29

5. A comparison of different methods to adjust survival curves for confounders;Statistics in Medicine;2023-02-07

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