Time-dependent association for bivariate interval censored data
Author:
Funder
Ministry of Education
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42081-021-00132-0.pdf
Reference23 articles.
1. Andersen, J. E., Louis, T. A., Holm, N. V., & Harvald, B. (1992). Time-dependent association measures for bivariate survival distributions. Journal of the American Statistical Association, 87, 641–650.
2. Bandeen-Roche, K., & Ning, J. (2008). Non-parametric estimation of bivariate failure time associations in the presence of a competing risk. Biometrika, 95, 221–232.
3. Betensky, R., & Finkelstein, D. F. (1999a). A non-parametric maximum likelihood estimator for bivariate interval censored data. Statistics in Medicine, 18, 3089–3100.
4. Betensky, R., & Finkelstein, D. F. (1999b). An extension of Kendall’s coefficient of concordance to bivariate interval censored data. Statistics in Medicine, 18, 3101–3109.
5. Bogaerts, K., & Lesaffre, E. (2008a). Estimating local and global measures of association for bivariate interval censored data with a smooth estimate of density. Statistics in Medicine, 27, 5941–5955.
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1. Special feature: Recent statistical methods for survival analysis;Japanese Journal of Statistics and Data Science;2021-10-18
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