The use of weights to account for non-response and drop-out

Höfler, M. and Pfister, H. and Lieb, R. and Wittchen, H.-U.. (2005) The use of weights to account for non-response and drop-out. Social psychiatry and psychiatric epidemiology, Vol. 40, H. 4. pp. 291-299.

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Official URL: http://edoc.unibas.ch/dok/A5253331

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Background Empirical studies in psychiatric research and other fields often show substantially high refusal and drop-out rates. Non-participation and drop-out may introduce a bias whose magnitude depends on how strongly its determinants are related to the respective parameter of interest. Methods When most information is missing, the standard approach is to estimate each respondent's probability of participating and assign each respondent a weight that is inversely proportional to this probability. This paper contains a review of the major ideas and principles regarding the computation of statistical weights and the analysis of weighted data. Results A short software review for weighted data is provided and the use of statistical weights is illustrated through data from the EDSP (Early Developmental Stages of Psychopathology) Study. The results show that disregarding different sampling and response probabilities can have a major impact on estimated odds ratios. Conclusions The benefit of using statistical weights in reducing sampling bias should be balanced against increased variances in the weighted parameter estimates.
Faculties and Departments:07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Klinische Psychologie und Neurowissenschaften > Klinische Psychologie und Epidemiologie (Lieb)
UniBasel Contributors:Lieb, Roselind
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
Last Modified:22 Mar 2012 14:25
Deposited On:22 Mar 2012 13:43

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