Chi-Squared Goodness-of-Fit Tests for Parametric Accelerated Failure Time Models

We give chi-squared goodness-of fit tests for parametric regression models such as accelerated failure time, proportional hazards, generalized proportional hazards, frailty models, transformation models, and models with cross-effects of survival functions. Random right censored data are used. Choice...

Full description

Saved in:
Bibliographic Details
Published in:Communications in statistics. Theory and methods 2013-08, Vol.42 (15), p.2768-2785
Main Authors: Bagdonavičius, Vilijandas B., Levuliene, Rūta J., Nikulin, Mikhail S.
Format: Article
Language:English
Subjects:
Accelerated failure time model
Accelerated tests
Algorithms
Censoring
Chi-squared test
Exponential distribution
Failure times
Goodness-of-fit
Hazards
Loglogistic distribution
Lognormal distribution
Mathematical models
Parameter estimation
Parametric model
Primary 62G05
Random cells
Regression
Regression models
Scale and shape family
Secondary 62N05
Statistics
Studies
Survival
Transformations
Weibull distribution
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We give chi-squared goodness-of fit tests for parametric regression models such as accelerated failure time, proportional hazards, generalized proportional hazards, frailty models, transformation models, and models with cross-effects of survival functions. Random right censored data are used. Choice of random grouping intervals as data functions is considered.
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2011.617483