The power of iterated generalized least squares (GLS) method to detect direct relationships in the analysis of correlated quantitative traits.

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 Epidemiol

journal_title

Genetic epidemiology

authors

He Q,Nemesure BB,Mendell NR

doi

10.1002/(SICI)1098-2272(1997)14:6<797::AID-GEPI39>

subject

Has Abstract

pub_date

1997-01-01 00:00:00

pages

797-801

issue

6

eissn

0741-0395

issn

1098-2272

pii

10.1002/(SICI)1098-2272(1997)14:6<797::AID-GEPI39>

journal_volume

14

pub_type

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