This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 405
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #307033
Title: The Odd Weibull Family for Modeling Incomplete Data
Author(s): Kahadawala Cooray*+
Companies: Central Michigan University
Address: , , ,
Keywords: Censored and truncated data ; Coverage probabilities ; Grouped data ; Odd Weibull
Abstract:

Recent advances of Weibull generalization, the odd Weibull family has been shown to be useful not only for lifetime data modeling, but also discriminating between Weibull and inverse Weibull distributions. This three-parameter distribution accommodates seven different hazard shapes and a wide variety of shapes of the density function including bimodality. We adapted two-way estimation method for analyzing grouped, censored, and truncated data that frequently encountered in medical follow-up studies and survival analysis. In addition, small sample analysis is investigated for uncensored data by providing the coverage probabilities of likelihood estimators. To illustrate the flexibility and applicability of the odd Weibull family for modeling incomplete data, four distinctly different examples are provided and compared with nonparametric survival curves: Kaplan-Meier, Turnbull, and TJW.


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