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SE were adjusted for dependence between individuals within schools using a clustered sandwich estimator.
To account for a lack of independence in the data of women treated in the same trust, the standard errors of the regression model coefficients were calculated using a clustered sandwich estimator.
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Therefore, for all models we used a clustered sandwich estimator to produce robust 99% confidence intervals around our point estimates of effect to account for the clustering.
To correct for possible dependence between birth outcomes in these infants, all standard errors were calculated with use of the clustered sandwich estimator.
Clustered sandwich estimators were used to allow for within-country correlation between error terms [ 32].
Clustered sandwich estimators of the variance were used.
Since the subjects were nested into centres, clustered sandwich estimators of the variance were used.
Cox proportional hazard models for multivariable survival data (adjusted for surgeon clustering using a sandwich covariance matrix estimator) were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs) for the type of tibial component and risk of all-cause and aseptic revision.
The correlations between recipient mice were taken into account using a robust sandwich estimator, implemented as method stcox cluster in Stata 9.2, to estimate S.E.
Familial dependency was handled by using a robust sandwich estimate of variance (R package survival, cluster function).
sTREM-1 in BALF was measured using a quantitative sandwich enzyme immunoassay.
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