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All estimates presented here are the results of weighted procedures performed in Stata version 12.0 using the svyset commands, which adjust for differential probabilities of selection, the non-independence of individuals selected from sampling clusters and sample stratification.
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All 95% CIs were controlled for clustering using the svyset command.
We accounted for the complex survey sampling design (clustering, stratification and weights) by using the svyset command.
Briefly, we corrected for the proportional sampling units and the sampling weights using the svyset command in STATA 12.0 (Stata Corp ,College Station, TX) software package.
We accounted for the complex survey sampling (clustering, stratification and weights) by using the svyset command in Stata in the descriptive overview of the sample and in analysis of targeting and multidimensional outcomes.
The survey design, oversampling and response rate were accounted for using the svyset command (and subsequent svy commands) in STATA using specific countrywide variables that had already been created.
In the final model, we ran a combined model (using the same variables as in the stratified analysis); adjusting for clustering around HIV prevalence strata by using the svyset command in STATA.
Before any of the survey estimation commands were used, the svyset command was used to specify the variables that describe the stratification, sampling weight, and primary sampling unit variables.
The complex survey design and unequal probabilities of sample selection were taken into account using the "Svyset" procedure.
Sampling weights for each stratum were calculated for use with the "svyset" commands.
Survey analyses using the 'svyset' command and the 'svy' prefix/procedures in STATA were used to account for the study design.
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