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Alternate Parameterization for Scalar and Non-scalar Sex-limitation Models in Mx

Published online by Cambridge University Press:  21 February 2012

Sarah E. Medland*
Affiliation:
Queensland Institute of Medical Research,Australia; Cognitive Psychophysiology Laboratory, University of Queensland,[email protected]
*
*Address for correspondence: Sarah Medland, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Brisbane QLD 4029, Australia.

Abstract

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The purpose of this article is to present alternative parameterizations of scalar and non-scalar sex-limitation models in the Mx matrix algebra program (Neale et al., 2002). These models are designed for use with extended pedigrees and take advantage of the dynamic treatment of covariates within Mx. Example scripts are provided.

Type
Articles
Copyright
Copyright © Cambridge University Press 2004