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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/367

Title: Analysis of incomplete public health data
Authors: Molenberghs, Geert
Burzykowski, Tomasz
Michiels, Bart
Kenward, Michael G.
Keywords: Missing data
Issue Date: 1999
Citation: Revue d'Epidémiologie et de Santé Publique, 47(6). p. 499-514
Abstract: The problem of dealing with missing values is common throughout statistics and is very prominent with epidemiologic data in the broad sense. Not only do data collection procedures break down, but subjects may be lost to follow up, or simply withdraw their consent without further providing a reason for doing so. In this paper, we review a framework for handling incomplete studies, and then concentrate on a specific case. It comes from a complex health interview survey, conducted in Belgium in 1997, where different types of missingness arise at various levels of the hierarchical sampling procedure.
URI: http://hdl.handle.net/1942/367
ISI #: 000085020400002
ISSN: 0398-7620
Type: Journal Contribution
Validation: ecoom, 2001
Appears in Collections: Research publications

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