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This was a cross-sectional survey of a national sample based on a multistage complex design which has been described in detail previously [ 18, 19].
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All our analyses used the NHANES III sample weights and sample design variables to correct the CMV seroprevalence point estimates for population representativeness and the interval estimates for the multistage complex sample design.
Analyses were performed using the SUDAAN statistical package to account for the multistage, complex sampling design (Research Triangle Institute 2004).
We performed analyses using the SUDAAN statistical package to account for the multistage, complex sampling design (Research Triangle Institute 2004).
Taylor series linearization methods were used to obtain variance estimates adjusted for clustering associated with the multistage complex survey design, with the exception of the AIC-based rANOVA.
Data for the present investigation came from the LSOA II, a publicly available data set, which consists of a nationally representative sample with a multistage complex sampling design.
To address the peculiarity of the multistage complex survey design of NHANES-III, final analyses were performed using SUDAAN (RTI International, Research Triangle Park, NC), software that accounts for the multistage sampling of NHANES-III in computing variance estimates.
Data from the 1999 2004 National Health and Nutrition Examination Survey (NHANES), a multistage stratified complex design survey of a representative sample of the entire U.S. civilian population conducted by the National Center for Health Statistics (NCHS), was analyzed.
Because NHANES participants are recruited through a multistage sampling design, it is necessary to account for this complex design in order to properly estimate variances and to produce unbiased, nationally representative statistics.
Each survey covers ∼5000 individuals across the age spectrum, and has a complex, multistage sampling design.
NHANES uses a complex, multistage sample design.
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