Biomedical Engineering Reference
In-Depth Information
Sun, J. (2006).
The Statistical Analysis of Interval-Censored Failure Time
Data. New York: Springer.
Sun, J. and Kalbfleisch, J. D. (1993).
The analysis of current status data
on point processes.
Journal of the American Statistical Association 88,
1449{1454.
Sun, J. and Shen, J. (2009). Ecient estimation for the proportional hazards
model with competing risks and current status data. The Canadian Journal
of Statistics 37, 592{606.
Sun, J. and Sun, L. (2005). Semiparametric linear transformation models for
current status data. The Canadian Journal of Statistics 33, 85{96.
Sun, J., Zhao, Q., and Zhao, X. (2005). Generalized logrank tests for interval-
censored failure time data. Scandinavian Journal of Statistics 32, 49{57.
Turnbull, B. W. (1976). The empirical distribution with arbitrarily grouped
censored and truncated data. Journal of the Royal Statistical Society: Series
B 38, 290{295.
Wellner, J. A. and Zhan, Y. (1997). A hybrid algorithm for computation of the
nonparametric maximum likelihood estimator from censored data. Journal
of the American Statistical Association 92, 945{959.
Xiang, L., Ma, X., and Yau, K. K. W. (2011).
Mixture cure model with
random effects for clustered interval-censored survival data.
Statistics in
Medicine 30, 995{1006.
Yavuza, A. C. and Lambert, P. (2010). Smooth estimation of survival functions
and hazard ratios from interval-censored data using Bayesian penalized B-
splines. Statistics in Medicine 30, 75{90.
Younes, N. and Lachin, J. (1997). Linked-based models for survival data with
interval and continuous time censoring. Biometrics 53, 1199{1211.
 
Search WWH ::




Custom Search