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- W1725054071 abstract "A proper analysis of data from complex sample surveys requires special consideration for estimating standard errors. Special techniques and software packages are available, including Taylor series linearization (delta method), balanced re peated replication, and jackknife. Before their use, it is often necessary to make certain modifications in original data structure, to conform to computing method requirements. The most common modifi cation is to form pseudostrata by collapsing sub strata or partitioning a string of geographic clusters. This paper examines the performance of the delta method when it is applied to a complex community survey data set in which sequentially drawn clusters of households are partitioned to form pseudostrata. Standard errors of rates, regression coefficients, and odds ratios are compared with those computed from the variation of replicates built into the sample de sign. The results demonstrate that an analysis of complex survey data should use an appropriate method for estimating standard errors, and that pseudostrata would produce reasonable estimates of standard errors for rates and regression coeffi cients, with mixed results for odds ratios." @default.
- W1725054071 created "2016-06-24" @default.
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- W1725054071 date "1986-04-01" @default.
- W1725054071 modified "2023-09-22" @default.
- W1725054071 title "Complex Survey Data Analysis: Estimation of Standard Errors Using Pseudostrata" @default.
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- W1725054071 doi "https://doi.org/10.3233/jem-1986-14204" @default.
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