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The cluster effect-students were 'nested' in classes-will be handled by getting robust variance related estimates based on the first order Taylor series linearization method using Stata's procedures for design based analyses [ 65].
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In order to get robust estimators for (rho ), Gnanadesikan and Kettenring (1972) propose replacing the variances and standard deviations in (11) and (12), respectively, by robust estimators as follows begin{aligned} widehat{rho }=frac{widehat{S}^{2}(U -widehat{S}^{2}(V)}{widehat{S} ^{2}(U -widehat{S}^{2}(V)}{widehat{S}d} (13)where (widehat{S}) is a robust scale estimator.
Sea scallops get robust treatment.
Normal distribution was assessed by qq plots and variance homogeneity by robust variance test.
†Results of univariable and multivariable Poisson regression adjusted for household clustering by using robust variance estimates.
In contrast, design-based analytical approach accounts for stratification and clustering by computing robust variance estimates.
Risk factors for perinatal mortality were analysed by Poisson regression, by using robust variance estimates and expressed as RR.
We took into account the familial correlation in the model by calculating the robust variance.
The potential for mortality correlation among groups of sisters within clutches was taken into account by computing a robust variance (cluster option).
Standard error adjusted for clustering by robust variance estimates.
Correlation within the clusters was considered by robust variance estimation [ 30, 31].
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