ABSTRACT
The size of the non-sampling error is directly related to the accuracy and reliability of the sampling survey result. This paper studied the non-sampling errors generated during the sampling process of the China National Human Biomonitoring Program(CNBP), mainly including the sampling frame error, non-response error and measurement error. The program reduced the influence of the non-sampling error on the quality of the survey effectively by scientifically designing the sampling scheme and questionnaire, strengthening investigator trainings and standardizing the data review, which could be used to provide reference for the control of non-sampling errors in public health monitoring projects in China.
ABSTRACT
Objective To explore the sampling method in China National Human Biomonitoring Program (HBP) and the related errors,so as to calculate and evaluate the study design in sampling.Methods The sampling method of HBP is of multistage nature.Taking the results of sampling method from Guizhou province as an example,results related to sampling error and variation coefficient were calculated,using the multistage unequal probability sampling error method.Results The HBP covered 152 monitoring sites in 31 provinces (autonomous regions and municipalities) and with 21 888 residents selected.The replacement rates at various stages were 5.26％,6.35％ and 40.6％ respectively.The sampling error in Guizhou province was 3 207 594,and the coefficient of variation was 0.097.Conclusions 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.
ABSTRACT
Objective To explore the sampling method in China National Human Biomonitoring Program (HBP) and the related errors,so as to calculate and evaluate the study design in sampling.Methods The sampling method of HBP is of multistage nature.Taking the results of sampling method from Guizhou province as an example,results related to sampling error and variation coefficient were calculated,using the multistage unequal probability sampling error method.Results The HBP covered 152 monitoring sites in 31 provinces (autonomous regions and municipalities) and with 21 888 residents selected.The replacement rates at various stages were 5.26％,6.35％ and 40.6％ respectively.The sampling error in Guizhou province was 3 207 594,and the coefficient of variation was 0.097.Conclusions 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.