Date of Award
1-1-2009
Document Type
Campus Access Thesis
Department
Epidemiology and Biostatistics
Sub-Department
Biostatistics
First Advisor
Matteo Bottai
Abstract
Laplace regression is a quantile regression method for analyzing censored data where the censored observations are assumed to come from an asymmetric Laplace distribution. In this simulation study the performance of Laplace regression was compared to Portnoy and Peng-Huang's methods, two other quantile regression methods for survival data. Performance of the methods was assessed primarily based on coverage percentage and interval length. In the simulation study Laplace regression outperformed both Portnoy and Peng-Huang's methods, showing larger coverage percentages with interval lengths that were generally comparable.
Rights
© 2009, Andrew Ortaglia
Recommended Citation
Ortaglia, A.(2009). Laplace Regression For Censored Data. (Master's thesis). Retrieved from https://scholarcommons.sc.edu/etd/552