Abstract:
:We examined the power of the stepwise iterated generalized least squares (GLS) method by modeling the relationship between quantitative traits and other variables using the simulated data for Problem 2A. The comparison between the generating model provided by the workshop and the results of the stepwise iterated GLS model showed that this method could be used as a first step in identifying the underlying model for genetic data. The estimated covariance matrices also provide useful information about the genetic properties of the traits.
journal_name
Genet Epidemioljournal_title
Genetic epidemiologyauthors
He Q,Nemesure BB,Mendell NRdoi
10.1002/(SICI)1098-2272(1997)14:6<797::AID-GEPI39>subject
Has Abstractpub_date
1997-01-01 00:00:00pages
797-801issue
6eissn
0741-0395issn
1098-2272pii
10.1002/(SICI)1098-2272(1997)14:6<797::AID-GEPI39>journal_volume
14pub_type
杂志文章abstract::There has been extensive literature on modeling gene-gene interaction (GGI) and gene-environment interaction (GEI) in case-control studies with limited literature on statistical methods for GGI and GEI in longitudinal cohort studies. We borrow ideas from the classical two-way analysis of variance literature to address...
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journal_title:Genetic epidemiology
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journal_title:Genetic epidemiology
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