Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease-Reference-Cited by-同舟云学术

Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease

Published:2016-03-09 Issue:16 Volume:43 Page:2922-2940
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Lu T.-F.C.¹²,Hsu C.-M.³,Shu K.-H.⁴,Weng S.-C.⁴,Chen C.-M.¹²

Affiliation:

1. Department of Statistics and Informatics Science, Providence University, Taichung, Taiwan, R.O.C

2. Department of Financial and Computational Mathematics, Providence University, Taichung, Taiwan, R.O.C

3. Department of International Trade, Kun Shan University, Tainan, Taiwan, R.O.C

4. Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan, R.O.C

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2016.1155202

Reference42 articles.

1. The identifiability of the mixed proportional hazards competing risks model

2. Time-Varying Latent Effect Model for Longitudinal Data with Informative Observation Times

3. Regression analysis of multivariate current status data with dependent censoring: application to ankylosing spondylitis data

4. Semiparametric marginal regression analysis for dependent competing risks under an assumed copula

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