A Framework for Structural Equation Models in General Pedigrees | Zendy

Nathan Morris | Zendy; Robert C. Elston | Zendy; Catherine M. Stein | Zendy

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A Framework for Structural Equation Models in General Pedigrees

Author(s) -

Nathan Morris,

Robert C. Elston,

Catherine M. Stein

Publication year - 2010

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000322885

Subject(s) - structural equation modeling , latent variable , covariate , computer science , pedigree chart , data mining , matlab , linkage (software) , variance (accounting) , notation , statistical model , missing data , econometrics , statistics , mathematics , machine learning , genetics , arithmetic , accounting , biology , business , gene , operating system

Structural Equation Modeling (SEM) is an analysis approach that accounts for both the causal relationships between variables and the errors associated with the measurement of these variables. In this paper, a framework for implementing structural equation models (SEMs) in family data is proposed.

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