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This includes estimates of frequency distributions and chi-square tests of baseline characteristics and regression analyses using the 'svy' commands in Stata software, StataCorp, College Station, TX.
As both samples were clustered, stratified and weighted, the analysis was run using the 'svy' commands in Stata 10 to account for the complex sample design.
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Since both samples were clustered, stratified and weighted, the analysis was run in Stata 10 using the 'svy' command to account for the complex sample design.
All analyses were carried out using STATA 13.1, with 5% level of significance and using the 'svy' command to account for the complex DHS survey design.
We took the complex survey design into account (including clustering, stratification and population weights) using the STATA 'svy' suite commands.
All analyses were conducted in Stata/SE 12 (Stata Corporation, Texas, USA) using 'svy' commands to allow for clustered sampling design and attrition up to the age of 7 years.
Data were entered in SPSS (ver.17) and analyzed with Stata (ver.12) using 'Svy' commands for survey data analysis.
All statistical analyses were conducted using 'SVY' commands in STATA/MP V.12.0 (StataCorp, College Station, Texas, USA) to adjust for the cluster sampling survey design, weights and SEs.
Survey analyses using the 'svyset' command and the 'svy' prefix/procedures in STATA were used to account for the study design.
Survey analyses using the 'svyset' command and the 'svy' prefix in STATA were used to account for a multi-stage cluster sampling design of the study including stratification, unequal selection probabilities, and clustering.
All estimates and significance tests were corrected for clustering within each shop where products were purchased using the SVY commands.
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