OYEYEMI, G. M.Adewara, A. A.Adeyemi, R. A.2023-07-192023-07-192010Asian Journal of Mathematics and Statistics1994-5418https://uilspace.unilorin.edu.ng/handle/20.500.12484/11571We compared three statistical packages (SAS, SPSS and STATA) in analyzing complex survey data in the context of multiple regression analysis using concrete examples from two national healthcare databases (MEPS and NDHS). The three packages are found to be efficient and flexible in analyzing complex survey data, but SAS in some cases seems to overestimate the variances of the sample statistics. Adjustment for stratification (incorporating stratification) is very important in complex survey analysis, especially if the stratification variable is endogenousenClustering, Complex survey, Sampling weight, Standard error, StratificationArticle