Weighted estimation methods for multistage sampling survey data

VernacularTitle:多阶段抽样调查资料的加权估计法
Author: Xiao-Yan HOU ¹ ; Yong-Yue WEI ; Feng CHEN
Author Information

1. 南通市疾病预防控制中心
Keywords: Multistage sampling; Complex survey data; Linearized/Robust variance estimation; Weighted point estimation
From: Chinese Journal of Epidemiology 2009;30(6):633-636
CountryChina
Language:Chinese
Abstract: Multistage sampling techniques are widely applied in the cross-sectional study of epidemiology, while methods based on independent assumption are still used to analyze such complex survey data. This paper aims to introduce the application of weighted estimation methods for the complex survey data. A brief overview of basic theory is described, and then a practical analysis is illustrated to apply to the weighted estimation algorithm in a stratified two-stage clustered sampling data. For multistage sampling survey data, weighted estimation method can be used to obtain unbiased point estimation and more reasonable variance estimation, and so make proper statistical inference by correcting the clustering, stratification and unequal probability effects.