Frailty Models to Analyze Sputum Conversion of Tuberculosis Patients
- Associate Professor, Department of Statistics, Loyola College, Chennai-34.
- Assistant Professor, Department of Statistics, Loyola College, Chennai-34.
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A frailty model is a random effect model for time to event data. This Paper deals with Gamma Frailty model to evaluate the Sputum Conversion (positive to negative) times of 1240 tuberculosis patients that are admitted into the randomized control trials. The analysis is done in STATA. Section 4.1 is the analysis of Weibull regression from Gamma Frailty, Table 4.1.1 summarizes the Survival data and Table 4.1.2 gives hazard ratio, standard error, significance and confidence intervals for each of the variables that are displayed. In section 4.2 the analysis of Lognormal regression from Gamma Frailty is discussed, Tables 4.2.1 summarizes the Survival data and Table 4.1.2 gives hazard ratio, standard error, significance and confidence intervals for each of the variables that are displayed. Section 4.3 shows the analysis of Loglogistic regression from Gamma Frailty, Table 4.3.1 summarizes the Survival data and Table 4.3.2 discusses the model. The final result is obtained in Section 5.
[T. Leo Alexander, S.Thobias and K. Siva Naga Raju (2015); Frailty Models to Analyze Sputum Conversion of Tuberculosis Patients Int. J. of Adv. Res. 3 (Jul). 898-904] (ISSN 2320-5407). www.journalijar.com
