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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

On estimation and diagnostics analysis in log-generalized gamma regression model for interval-censored data

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Author(s):
Hashimoto, Elizabeth M. [1] ; Ortega, Edwin M. M. [1] ; Cancho, Vicente G. [2] ; Cordeiro, Gauss M. [3]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Dept Ciencias Exatas, BR-13418900 Sao Paulo - Brazil
[2] Univ Sao Paulo, Dept Matemat Aplicada & Estat, BR-13418900 Sao Paulo - Brazil
[3] Univ Fed Pernambuco, Dept Estat, Recife, PE - Brazil
Total Affiliations: 3
Document type: Journal article
Source: STATISTICS; v. 47, n. 2, p. 379-398, APR 1 2013.
Web of Science Citations: 3
Abstract

The interval-censored survival data appear very frequently, where the event of interest is not observed exactly but it is only known to occur within some time interval. In this paper, we propose a location-scale regression model based on the log-generalized gamma distribution for modelling interval-censored data. We shall be concerned only with parametric forms. The proposed model for interval-censored data represents a parametric family of models that has, as special submodels, other regression models which are broadly used in lifetime data analysis. Assuming interval-censored data, we consider a frequentist analysis, a Jackknife estimator and a non-parametric bootstrap for the model parameters. We derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and present some techniques to perform global influence. (AU)

FAPESP's process: 10/04496-2 - Gamma-G regression model in survival analysis
Grantee:Elizabeth Mie Hashimoto
Support Opportunities: Scholarships in Brazil - Doctorate