Biomedical Engineering Reference
In-Depth Information
Jewell, N. P. and van der Laan, M. J. (1995). Generalizations of current status
data with applications. Lifetime Data Analysis 1, 101{110.
Jongbloed, G. (1998). The iterative convex minorant algorithm for nonpara-
metric estimation.
Journal of Computational and Graphical Statistics 7,
310{321.
Jonker, M. A., Bhulai, S., Boomsma, D. I., Ligthart, R. S. L., Posthuma, D.,
and Vander Vaart, A. W. (2009). Gamma frailty model for linkage analysis
with application to interval-censored migraine data. Biometrics 10, 187{
200.
Kalbfleisch, J. D. and Prentice, R. L. (2002). The statistical analysis of failure
time data. New York: Wiley.
Keiding, N. (1991). Age-specific incidence and prevalence: A statistical per-
spective (with discussion). Journal of the Royal Statistical Society: Series
A 154, 371{412.
Kevin, J. P. and Moeschberger, M. L. (2003). Survival Analysis (2nd edition).
Springer-Verlag.
Kim, Y. and Jhun, M. (2008). Cure rate model with interval-censored data.
Statistics in Medicine 27, 3{14.
Kim, Y. J. (2010). Regression analysis of clustered interval-censored data with
informative cluster size. Statistics in Medicine 29, 2956{2962.
Lee, T. C. K., Zeng, L., Thompson, D. J. S., and Dean, C. B. (2011). Compar-
ison of imputation methods for interval-censored time-to-event data in joint
modeling of tree growth and mortality. The Canadian Journal of Statistics
39, 438{457.
Li, L., Watkins, T., and Yu, Q. (1997).
An EM algorithm for estimating
survival functions with interval-censored data.
Scandinavian Journal of
Statistics 24, 531{542.
 
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