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All estimates and significance tests were corrected for clustering within each shop where products were purchased using the SVY commands.
All analyses took into account the sample weight, using the "svy" commands in Stata for complex data samples.
Statistical analyses were carried out using Stata 9 (Stata Corporation, Texas, USA), using the svy commands and sampling weights to adjust for the oversampling of reservists.
All analyses were performed using Stata software version 12/IC and adjusting for design effect using the svy commands (except for Spearman correlation).
All analyses were done using Stata 11 and using the svy commands to account for the sampling weights and the complex survey design.
Using the ' svy' commands in Stata 12, overall animal-level seroprevalence was calculated by weighting each individual's result by its sampling weight and the standard error was adjusted for clustering and weighting.
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The apparent/test based seroprevalence estimates were calculated using the svy command in Stata 9.0 (Stata Corporation, Texas, USA).
All further analyzes were conducted using the svy command.
All regression analyses were then conducted using the svy command and regress subcommand.
Using the svy command in Stata (version 12), primary sampling units and strata for the data set were defined to account for the cluster-randomised design.
All analyses were undertaken using the svy command in STATA to take account of sampling weights (as shown in Additional file 1: table S1).
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