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DC Field | Value | Language |
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dc.contributor.author | VAN STEEN, Kristel | - |
dc.contributor.author | Tahri, Nadia | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2007-11-12T08:05:24Z | - |
dc.date.available | 2007-11-12T08:05:24Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | BIOMETRICAL JOURNAL, 46(2). p. 187-202 | - |
dc.identifier.issn | 0323-3847 | - |
dc.identifier.uri | http://hdl.handle.net/1942/2201 | - |
dc.description.abstract | Until recently, the most common parametric approaches to study the combined effects of several genetic polymorphisms located within a gene or in a small genomic region are, at the genotype level, logistic regressions and at the haplotype level, haplotype analyses. An alternative modeling approach, based on the case/control principle, is to regard exposures (e.g., genetic data such as derived from Single Nucleotide Polymorphisms - SNPs) as random and disease status as fixed and to use a marginal multivariate model that accounts for inter-relationships between exposures. One such model is the multivariate Dale model. This model is based on multiple logistic regressions. That is why the model, applied in a case/control setting, leads to straightforward interpretations that are similar to those drawn in a classical logistic modeling framework. | - |
dc.description.sponsorship | This work was carried out within the framework of the Belgian IUAP/PAI network “Statis-tical Techniques and Modeling for Complex Substantive Questions with Complex Data”, and supported in partsby grant MH59532 of the National Institutes of Health (first author). In addition, the authors thank Steve Graconof Pfizer for the use of the ApoE data. N.T. would like to thank the Association Nationale de la RechercheTechnique (ANRT) for financial support. | - |
dc.language.iso | en | - |
dc.publisher | AKADEMIE VERLAG GMBH | - |
dc.rights | (C) 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim | - |
dc.subject.other | multivariate Dale model; multiple loci phenomena; case/control design; sensitivity analysis | - |
dc.subject.other | multivariate Dale model; multiple loci phenomena; case/control design; sensitivity analysis | - |
dc.title | Introducing the multivariate dale model in population-based genetic association studies | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 202 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 187 | - |
dc.identifier.volume | 46 | - |
local.format.pages | 16 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA. Limburgs Univ Ctr, Ctr Stat, Diepenbeek, Belgium. CHU Pitie Salpetriere, INSERM, U525, Paris, France. Genser SA, Genom Res Ctr, Evry, France.Van Steen, K, Harvard Univ, Sch Publ Hlth, Dept Biostat, 655 Huntington Ave, Boston, MA 02115 USA.kvanstee@hsph.harvard.edu | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1002/bimj.200310016 | - |
dc.identifier.isi | 000221162500004 | - |
item.accessRights | Restricted Access | - |
item.contributor | VAN STEEN, Kristel | - |
item.contributor | Tahri, Nadia | - |
item.contributor | MOLENBERGHS, Geert | - |
item.fullcitation | VAN STEEN, Kristel; Tahri, Nadia & MOLENBERGHS, Geert (2004) Introducing the multivariate dale model in population-based genetic association studies. In: BIOMETRICAL JOURNAL, 46(2). p. 187-202. | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2005 | - |
crisitem.journal.issn | 0323-3847 | - |
crisitem.journal.eissn | 1521-4036 | - |
Appears in Collections: | Research publications |
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Steen_et_al-2004-Biometrical_Journal.pdf Restricted Access | Published version | 155.23 kB | Adobe PDF | View/Open Request a copy |
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