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.
Issue Date: 1999
Source: 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.
Document URI: http://hdl.handle.net/1942/367
ISSN: 0398-7620
e-ISSN: 1773-0627
ISI #: 000085020400002
Type: Journal Contribution
Validations: ecoom 2001
Appears in Collections:Research publications

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