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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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