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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/4013

Title: Approaches to handling incomplete data in family-based association testing
Authors: Van Steen, Kristel
Laird, N. M.
Markel, Paul
Molenberghs, Geert
Issue Date: 2007
Publisher: BLACKWELL PUBLISHING
Citation: ANNALS OF HUMAN GENETICS, 71. p. 141-151
Abstract: The high throughput of data arising from the complete sequence of the human genome has left statistical geneticists with a rich and extensive information source. The wide availability of software and the increase in computing power has improved the possibilities to access and process such data. One problem is incompleteness of the data: unobserved or partially observed data points due to technical reasons or reasons associated with the patient's status or erroneous measurements of phenotype or genotype, to name a few. When not properly accounted for, these sources of incompleteness may seriously jeopardize the credibility of results from analyses. In this paper we provide some perspectives on the occurrence and analysis of different forms of incomplete data in family-based genetic association testing.
Notes: Univ Ghent, Dept Appl Math & Comp Sci, B-9000 Ghent, Belgium. Univ Ghent, Dept Otorhinolaryngol, B-9000 Ghent, Belgium. Hasselt Univ, Ctr Stat, Diepenbeek, Belgium. Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA.Van Steen, K, Univ Ghent, Dept Appl Math & Comp Sci, B-9000 Ghent, Belgium.
URI: http://hdl.handle.net/1942/4013
DOI: 10.1111/j.1469-1809.2006.00325.x
ISI #: 000244100400001
ISSN: 0003-4800
Category: A1
Type: Journal Contribution
Validation: ecoom, 2008
Appears in Collections: Research publications

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