This analysis uses Bayesian Logistic regression to identify factors effecting the knowledge of HIV /AIDS among youth in Bangladesh. The data set was collected The International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), popularly known as Cholera Hospital in Bangladesh. In this analysis, the performance of traditional logistic regression vs that of Bayesian logistic regression has been examined to determine the factors related to AIDS awareness. Logistic regression is only standard method of analyzing the binary response data in epidemiology. Odds ratio is the best way to interpret the coefficients of the independent covariates in the logistic regression. The analysis has been made using MCMC technique for Bayesian inference available with software WINBUGS. Although logistic regression and Bayesian logistic regression find the same factor that influence AIDS awareness but Bayesian logistic gives some range.