Exact(25)
The Stata "svy" command was used to adjust for design effects.
We also report 95% confidence intervals (CIs) adjusted for design effects, stratification, and clustering and for unequal weighting of the observations.
The proposed method bypasses the need for design effects and is valid under general single-stage unequal probability sampling designs with small sampling fractions.
Although it is possible to correct for design effects on the variance of simple descriptive statistics (e.g., means and aggregates), no correction methods are available for most analytical statistics [36], [37], including the ones presented in this paper, which assume a simple random sampling of households.
% weighted for design effects only, not for non-response.
Variance estimates of regression coefficients obtained from the sandwich estimator (i.e. not accounting for design effects) were similar to bootstrap variance estimates (i.e. accounting for design effects).
Similar(35)
In the two cluster randomised trials, adverse effects were unadjusted for design effect.
The adjustment for design effect was done by multiplying the inverse-variance weight for a study by design effect.
*PR- prevalence ratio; CI- confidence interval; values adjusted for design effect.
After adjusting the calculated preliminary sample size for design effect, a total sample size of 3,250 was adopted.
We controlled the outcome variables for design effect due to intra cluster correlation (ICC) within the pharmacies and hospitals.
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