Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs-Reference-Cited by-同舟云学术

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Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs

Published:2018-04-03 Issue:522 Volume:113 Page:882-892
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Liu Dandan¹,Cai Tianxi²,Lok Anna³,Zheng Yingye⁴

Affiliation:

1. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN

2. Department of Biostatistics, Harvard School of Public Health, Boston, MA

3. Division of Gastroenterology, University of Michigan, Ann Arbor, MI

4. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA

Funder

National Institutes of Health

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2017.1295866

Reference35 articles.

1. Cox's Regression Model for Counting Processes: A Large Sample Study

2. Towards a general asymptotic theory for Cox model with staggered entry

3. Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression

4. Nonparametric Evaluation of Biomarker Accuracy Under Nested Case-Control Studies

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