Testing homogeneity in Weibull-regression models.

Heleno Bolfarine; Dione M Valença

doi:10.1002/bimj.200410064

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Testing homogeneity in Weibull-regression models.

Heleno Bolfarine·Dione M Valença

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Abstract

In survival studies with families or geographical units it may be of interest testing whether such groups are homogeneous for given explanatory variables. In this paper we consider score type tests for group homogeneity based on a mixing model in which the group effect is modelled as a random variable. As opposed to hazard-based frailty models, this model presents survival times that conditioned on the random effect, has an accelerated failure time representation. The test statistics requires only estimation of the conventional regression model without the random effect and does not require specifying the distribution of the random effect. The tests are derived for a Weibull regression model and in the uncensored situation, a closed form is obtained for the test statistic. A simulation study is used for comparing the power of the tests. The proposed tests are applied to real data sets with censored data.

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Animals Carcinogenicity Tests Computer Simulation Female Humans Litter Size Male Models, Statistical Rats Regression Analysis Sampling Studies Survival Analysis Comparative Study Journal Article Research Support, Non-U.S. Gov't

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Heleno Bolfarine, Dione M Valença. 2005. Testing homogeneity in Weibull-regression models.. https://doi.org/10.1002/bimj.200410064

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