CONTROLLED CLINICAL TRIALS FOR TUBERCULOSIS PATIENTS BASED ON ACCELERATED FAILURE TIME (AFT) MODELS

In this Paper we present the analysis of the data considered for the study on 1240 tuberculosis patients admitted into the randomized control trial. Survival techniques such as Kaplan Meier estimator and accelerated failure time models have been used to study about the sputum conversion (positive to negative) times. The effects of different treatment regimen are also tested. The analysis is done in SPSS and STATA. In Section 3.1 Kaplan Meier estimates and survival curves for gender of patients are presented and in the following Section 3.2 Kaplan Meier analysis and survival curves for treatment groups are presented and log-rank test is used to test the equality of the survival distributions in both cases. In Section 4 we present the STATA outputs of the applications of Accelerated failure time models of the results are discussed. In section 5 the overall results are discussed.