Biomedical Engineering Reference
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disease progression data via multi-state models under a nonignorable in-
spection process. Statistics in Medicine 29, 1175{1189.
Chen, M. H., Tong, X., and Sun, J. (2009).
A frailty model approach for
regression analysis of multivariate current status data. Statistics in Medicine
28, 3424{3436.
Cox, D. R. (1972). Regression models and life-tables (with discussion). Journal
of the Royal Statistical Society: Series B 34, 187{220.
De Gruttola, V. G. and Lagakos, S. W. (1989). Analysis of doubly-censored
survival data with application to aids. Biometrics 45, 1{11.
Dehghan, M. H. and Duchesne, T. (2011).
A generalization of Turnbull's
estimator for nonparametric estimation of the conditional survival function
with interval-censored data. Lifetime Data Analysis 17, 234{255.
Dinse, G. E. and Lagakos, S. W. (1983). Regression analysis of tumor preva-
lence data. Applied Statistics 32, 236{248.
Finkelstein, D. M. (1986). A proportional hazards model for interval-censored
failure time data. Biometrics 42, 845{854.
Finkelstein, D. M., Wang, R., Ficociello, L. H., and Schoenfeld, D. A. (2010).
A score test for association of a longitudinal marker and an event with
missing data. Biometrics 66, 726{732.
Finkelstein, D. M. and Wolfe, R. A. (1985).
A semiparametric model for
regression analysis of interval-censored failure time data.
Biometrics 41,
933{945.
Frydman, H. and Szarek, M. (2009). Nonparametric estimation in a Markov
\illness-death" process from interval-censored observations with missing in-
termediate transition status. Biometrics 65, 143{151.
Gentleman, R. and Geyer, C. J. (1994).
Maximum likelihood for interval-
censored data: Consistency and computation. Biometrika 81, 618{623.
 
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