Regression Diagnostics for Current Status Data using the Odds-Rate Model

碩士 === 淡江大學 === 數學學系碩士班 === 101 === The regression diagnostics that assess the adequacy of a regression model for observed data should be conducted before the regression analysis. For complete or right censored failure time data, several graphical or quantitative methods have been established for re...

Full description

Bibliographic Details
Main Authors: Hsiao-Han Hung, 洪筱涵
Other Authors: Chi-Chung Wen
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/46433746704169207318
Description
Summary:碩士 === 淡江大學 === 數學學系碩士班 === 101 === The regression diagnostics that assess the adequacy of a regression model for observed data should be conducted before the regression analysis. For complete or right censored failure time data, several graphical or quantitative methods have been established for regression diagnostics (e.g. Collett (1994), Klein and Moeschberger (2003), and Lawless (2003)). In the thesis, we develop a diagnostic method for assessing the proportional hazards and proportional odds assumptions with current status data under the odds-rate model (Scharfstein, Tsiatis, and Gilbelt (1998)) and provide a stable and efficient computation method for proposed estimators. We illustrate the performance of our method via simulation studies and three real data analysis.