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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...
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Published in: | Communications in statistics. Theory and methods 2013-08, Vol.42 (15), p.2768-2785 |
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container_title | Communications in statistics. Theory and methods |
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creator | Bagdonavičius, Vilijandas B. Levuliene, Rūta J. Nikulin, Mikhail S. |
description | 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. |
doi_str_mv | 10.1080/03610926.2011.617483 |
format | article |
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source | Taylor and Francis:Jisc Collections:Taylor and Francis Read and Publish Agreement 2024-2025:Science and Technology Collection (Reading list) |
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 |
title | Chi-Squared Goodness-of-Fit Tests for Parametric Accelerated Failure Time Models |
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