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Parametric Frailty Models for Clustered Survival Data: Application to Recurrent Asthma Attack in Infants |
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PP: 89-99 |
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doi:10.18576/jsapl/060301
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Author(s) |
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K. A. Adeleke,
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Abstract |
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| This paper demonstrates the application of Gamma frailty models with parametric ( Log-Normal, Log Skew Normal and Inverse Weibull) baseline hazards functions to estimate the effect of prognostic factors on the survival of recurrent asthma attack on infants. Maximum likelihood method of estimation was used as to obtain our estimates. Our results demonstrate a good fit, showing that frailty model with Log-Normal baseline performs better (infants are less frail), followed by the model with Log skew Normal and least by inverse Weibull baseline hazard judging from the results of AIC and BIC as well as other evidence.
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