과제정보
This work was supported by a Korea Research Grant (NRF-2020R1A2C1A01100755).
참고문헌
- Betensky R and Finkelstein DF (1999). An extension of Kendall's coefficient of concordance to bivariate interval censored data, Statistics in Medicine, 18, 3101-3109. https://doi.org/10.1002/(SICI)1097-0258(19991130)18:22<3101::AID-SIM339>3.0.CO;2-5
- Bogaerts K, Komarek A, and Lesaffre E (2018). Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS, CRC-Press, New York.
- Bogaerts K and Lesaffre E (2008). Estimating local and global measures of association for bivariate interval censored data with a smooth estimate of density, Statistics in Medicine, 27, 5941-5955. https://doi.org/10.1002/sim.3374
- Ding AA and Wang W (2004). Testing independence for bivariate current status data, Journal of the American Statistical Association, 99, 145-155. https://doi.org/10.1198/016214504000000142
- Harrington DP and Fleming TR (1982). A class of rank test procedures for censored survival data, Biometrika, 69, 553-566. https://doi.org/10.1093/biomet/69.3.553
- Hsu L and Prentice RL (1996). A generalisation of the Mantel-Haenszel tests to bivariate failure time data, Biometrika, 83, 905-911. https://doi.org/10.1093/biomet/83.4.905
- Maathuis Marloes (2013). MLEcens, R package.
- Oakes D (1982). A concordance test for independence in the presence of censoring, Biometrics, 38, 451-455. https://doi.org/10.2307/2530458
- Shih JH and Louis TA (1996). Tests of independence for bivariate survival data, Biometrics, 52, 1440-1449. https://doi.org/10.2307/2532857
- Sun L, Wang L, and Sun J (2006). Estimation of the association for bivariate interval censored failure time data, Scandinavian Journal of Statistics, 33, 637-649. https://doi.org/10.1111/j.1467-9469.2006.00502.x
- Sun J (2006). The Statistical Analysis of Interval-censored Failure Time Data, Springer, New-York.
- Sun L, Wang L, and Sun J (2006). Estimation of the association for bivariate interval censored failure time data, Scandinavian Journal of Statistics, 33, 637-649. https://doi.org/10.1111/j.1467-9469.2006.00502.x
- Sun T and Ding Y (2019). CopulaCenR: Copula-Based Regression Models for Bivariate Censored Data, R package.
- Sun T and Ding Y (2021). Copula-based semiparametric regression method for bivariate data under general interval censoring, Biostatistics, 22, 315-330. https://doi.org/10.1093/biostatistics/kxz032
- Sun T, Liu Y, Cook RJ, Chen W, and Ding Y (2019). Copula-based score test for bivariate time-to- event data, with application to a genetic study of AMD progression, Life Time Data Analysis, 25, 546-568. https://doi.org/10.1007/s10985-018-09459-5
- Wang W and Ding AA (2000). On assessing the association for bivariate current status data, Biometrika, 87, 879-893. https://doi.org/10.1093/biomet/87.4.879