Date of Award
Master of Science (MS)
Mathematics and Statistics
This thesis centers on nonparametric inferences of the cumulative hazard function of a right truncated variable. We present three variance estimators for the Nelson-Aalen estimator of the cumulative hazard function and conduct a simulation study to investigate their performances. A close match between the sampling standard deviation and the estimated standard error is observed when an estimated survival probability is not close to 1. However, the problem of poor tail performance exists due to the limitation of the proposed variance estimators. We further analyze an AIDS blood transfusion sample for which the disease latent time is right truncated. We compute three variance estimators, yielding three sets of conﬁdence intervals. This work provides insights of two-sample tests for right truncated data in the future research.
Jiang, Yong, "Estimation of Hazard Function for Right Truncated Data" (2011). Mathematics Theses. Paper 94.