| Titre : | Assessment of weighting methodology for the National Comorbidity Survey. (1997) |
| Auteurs : | R.J.A. LITTLE ; S. HEERINGA ; R.C. KESSLER ; J. LEPKOWSKI ; S. LEWITZKY ; Department of Biostatistics. School of Public Health. University of Michigan. Ann Arbor MI. USA ; Institute for Social Research. University of Michigan. Ann Arbor MI. USA |
| Type de document : | Article |
| Dans : | American journal of epidemiology (vol. 146, n° 5, 1997) |
| Pagination : | 439-449 |
| Langues: | Anglais |
| Mots-clés : | Enquête épidémiologique ; Enquête ; Santé mentale ; Biais ; Epidémiologie ; Méthodologie ; Evaluation ; Homme ; Etats Unis ; Amérique du Nord ; Amérique ; Biais sélection |
| Résumé : | [BDSP. Notice produite par INIST lG36R0xZ. Diffusion soumise à autorisation]. 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. |
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