Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton

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Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model

Published:2023-01-20 Issue:4 Volume:29 Page:854-887
ISSN:1380-7870
Container-title:Lifetime Data Analysis
language:en
Short-container-title:Lifetime Data Anal

Author:

Rosner Bernard,Bay Camden,Glynn Robert J.,Ying Gui-shuang,Maguire Maureen G.,Lee Mei-Ling Ting

Funder

Foundation for the National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10985-022-09588-y.pdf

Reference35 articles.

2. Betensky RA, Finkelstein DM (1999) A non-parametric maximum likelihood estimator for bivariate interval censored data. Stat Med 18(22):3089–3100 (PMID: 10544308)

3. Broyden CG (1970) The convergence of a class of double-rank minimization algorithms. J Inst Math Appl 6:76–90

4. Clayton DG (1978) A model for association in bivariate life-tables and its application in epidemiological studies of familial tendency in chronic disease incidence. Biometrika 65:141–151

5. Fletcher R (1987) Practical methods of optimization. John Wiley & Sons, New York

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