Date of Award
Spring 4-27-2011
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Xu Zhang
Second Advisor
Jiawei Liu
Third Advisor
Yuanhui Xiao
Abstract
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.
DOI
https://doi.org/10.57709/1935604
Recommended Citation
Jiang, Yong, "Estimation of Hazard Function for Right Truncated Data." Thesis, Georgia State University, 2011.
doi: https://doi.org/10.57709/1935604