Little R J, Lewitzky S, Heeringa S, Lepkowski J, Kessler R C
Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor 48109-2029, USA.
Am J Epidemiol. 1997 Sep 1;146(5):439-49. doi: 10.1093/oxfordjournals.aje.a009297.
The authors studied weighting adjustments for the National Comorbidity Survey (1990-1992), a large-scale national epidemiologic investigation of the prevalence, risk factors, and consequences of psychiatric morbidity and comorbidity in the United States. Weighting adjustments for differential selection within households, new construction, unit nonresponse, and poststratification were examined separately and in combination. Specific issues addressed included the magnitude of the bias incurred from ignoring the weights, the added variance from weighting and how well this was predicted by simple formulae, and the performance of methods for trimming the weights. Weights had quite modest effects on point estimates of prevalences but resulted in major increases in variance unless trimmed. The weights after trimming and poststratification appeared to work well. It is suggested that the added variance from weighting be carefully monitored in similar surveys. Alternatives to the use of trimming for controlling variance are worth exploring.
作者们研究了针对美国国家共病调查(1990 - 1992年)的加权调整,该调查是一项关于美国精神疾病发病率、危险因素及共病情况的大规模全国性流行病学调查。分别对家庭内差异选择、新建住房、单位无应答及事后分层的加权调整进行了单独研究和综合研究。所探讨的具体问题包括忽略权重所导致的偏差程度、加权带来的额外方差以及简单公式对此的预测效果如何,还有权重修整方法的性能。权重对患病率的点估计影响相当小,但除非进行修整,否则会导致方差大幅增加。修整和事后分层后的权重似乎效果良好。建议在类似调查中仔细监测加权带来的额外方差。值得探索控制方差的权重修整替代方法。