THE POWER OF ITERATED GENERALIZED LEAST-SQUARES (GLS) METHOD TO DETECT DIRECT RELATIONSHIPS IN THE ANALYSIS OF CORRELATED QUANTITATIVE TRAITS

Authors
HE QM NEMESURE BB MENDELL NR
Citation
Qm. He et al., THE POWER OF ITERATED GENERALIZED LEAST-SQUARES (GLS) METHOD TO DETECT DIRECT RELATIONSHIPS IN THE ANALYSIS OF CORRELATED QUANTITATIVE TRAITS, Genetic epidemiology, 14(6), 1997, pp. 797-801
Citations number
3
Categorie Soggetti
Genetics & Heredity","Public, Environmental & Occupation Heath
Journal title
Genetic epidemiology → ACNP
ISSN journal
07410395
Volume
14
Issue
6
Year of publication
1997
Pages
797 - 801
Database
ISI
SICI code
0741-0395(1997)14:6<797:TPOIGL>2.0.ZU;2-#
Abstract
We examined the power of the stepwise iterated generalized least squar es (GLS) method by modeling the relationship between quantitative trai ts and other variables using the simulated data for Problem 2A. The co mparison between the generating model provided by the workshop and the results of the stepwise iterated GLS model showed that this method co uld be used as a first step in identifying the underlying model for ge netic data. The estimated covariance matrices also provide useful info rmation about the genetic properties of the traits. (C) 1997 Wiley-Lis s, Inc.