Classification Tree Analysis of Cervix Cancer Screening in the Belgian Health Interview Survey 1997
Objectives: To outline an evidence-based health policy, one is often interested in the profiles of persons who are at risk to obtain certain diseases or who do not respond to prevention programs as e.g. cervix cancer screening via smears. Methods: Statistical modelling can provide a tool to discover such profiles. In this paper the method of classification trees is described. The use of classification trees has advantages but also limitations with respect to their application in the survey domain. A closer look on the handling of missing data and weighting in this context will be given. Materi... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2002 |
Schlagwörter: | Non and semiparametric methods / Epidemiology / Surveys / Missing data / Clustered data / Computer intensive / cervix cancer screening / classification trees / health survey / weights |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26529385 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://hdl.handle.net/1942/268 |