2018PubMedRequires access

[Sampling methods and errors appearing in the China National Human Biomonitoring Program].

Z J Cao, Yingli Qu, Fang-He Zhao, L Liu, Shixun Song, Y C Liu, J Y Cai, Xian Shi

Open publisher page 4 citations

Abstract

According to the multi-stage unequal probability sampling method, the sampling coefficient variability appeared small with high precision, in Guizhou province. However, this method did not consider the weight adjustment of non-sampling errors such as population missing rate and response rate. Methods related to the calculation on multi-stage sampling error among large-scale public health monitoring projects need to be further studied.

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What this paper is about

According to the multi-stage unequal probability sampling method, the sampling coefficient variability appeared small with high precision, in Guizhou province. However, this method did not consider the weight adjustment of non-sampling errors such as population missing rate and response rate. Methods related to the calculation on multi-stage sampling error among large-scale public health monitoring projects need to be further studied.

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Available abstract

According to the multi-stage unequal probability sampling method, the sampling coefficient variability appeared small with high precision, in Guizhou province. However, this method did not consider the weight adjustment of non-sampling errors such as population missing rate and response rate. Methods related to the calculation on multi-stage sampling error among large-scale public health monitoring projects need to be further studied.

Key concepts: Sampling (signal processing), Statistics, Biomonitoring, Multistage sampling, Sampling design, Coefficient of variation, Systematic sampling, Cluster sampling

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[Sampling methods and errors appearing in the China National Human Biomonitoring Program]. — Research Paper | ScholarLens