Joint model for a diagnostic test without a gold standard in the presence of a dependent terminal event-Reference-Cited by-同舟云学术

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Joint model for a diagnostic test without a gold standard in the presence of a dependent terminal event

Published:2014-01-29 Issue:15 Volume:33 Page:2554-2566
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Luo Sheng¹,Su Xiao¹,DeSantis Stacia M.¹,Huang Xuelin²,Yi Min³,Hunt Kelly K.³

Affiliation:

1. Division of Biostatistics; The University of Texas Health Science Center at Houston; 1200 Pressler St, Houston, TX 77030 U.S.A.

2. Department of Biostatistics; The University of Texas MD Anderson Cancer Center; Houston, TX 77030 U.S.A.

3. Department of Surgical Oncology; The University of Texas MD Anderson Cancer Center; Houston, TX 77030 U.S.A.

Funder

National Institutes of Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference55 articles.

1. Weighted generalized estimating functions for longitudinal response and covariate data that are missing at random;Chen;Journal of the American Statistical Association,2010

2. Bias and efficiency loss due to misclassified responses in binary regression;Neuhaus;Biometrika,1999

3. Analysis of clustered and longitudinal binary data subject to response misclassification;Neuhaus;Biometrics,2002

4. The effects of misclassification on the estimation of relative risk;Barron;Biometrics,1977

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