The main objective of this paper is to reduce the number of predictors using multiple correlation/ association while estimating the survival of HIV/AIDS. MANOVA is used to test the association when we have two or more continuous predictors and two or more categorical predictors. Also, log-linear models are used to test the joint independence of two or more predictors. The survival times are estimated using AFTM. It is observed that the estimated survival times are not affected by the reduction of predictors from 11 to 4. Also, the estimates so obtained are more efficient as they have reduced standard error. Results of the proposed reduction method were also compared with the results of the two existing variable reduction methods, viz, LASSO and Net- Elastic method
