Bivariate and multivariate analyses are used. Significance level of
the bivariate association has been shown by Pearson’s Chi-square test,
whereas significance level of multivariate association is shown by
binomial logistic regression analysis. Advantage of logistic regression
analysis is that it requires no assumption about the distribution of the
independent variables and the regression coefficient can be interpreted
in terms of odds ratio (OR). In the present study, logistic regression
model is applied to analyse the effect of selected socio-economic factors
on men and women’s status of HIV. Therefore, binary logistic regression
has been used to estimate the adjusted effect of background characteristics
as independent variables.