Abstract:
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.
journal_name
Soc Psychiatry Psychiatr Epidemioljournal_title
Social psychiatry and psychiatric epidemiologyauthors
Höfler M,Pfister H,Lieb R,Wittchen HUdoi
10.1007/s00127-005-0882-5subject
Has Abstractpub_date
2005-04-01 00:00:00pages
291-9issue
4eissn
0933-7954issn
1433-9285journal_volume
40pub_type
杂志文章abstract:PURPOSE:This study compares the frequencies of attempted suicide among immigrants and their hosts, between different immigrant groups, and between immigrants and their countries of origin. METHODS:The material, 27,048 persons, including 4,160 immigrants, was obtained from the WHO/EURO Multicentre Study on Suicidal Beh...
journal_title:Social psychiatry and psychiatric epidemiology
pub_type: 杂志文章,多中心研究
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journal_title:Social psychiatry and psychiatric epidemiology
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journal_title:Social psychiatry and psychiatric epidemiology
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更新日期:2015-10-01 00:00:00
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更新日期:1994-02-01 00:00:00