Graphical chain models for the analysis of complex genetic diseases: an application to hypertension

DOI10.1191/1471082X05st088oazbMath1069.62092WikidataQ120819388 ScholiaQ120819388MaRDI QIDQ5313610

Paola Vicard, Clelia Di Serio

Publication date: 1 September 2005

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

phenotypeconditional independencegenotypegraphical chain modelscomplex disorders

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of graph theory (05C90) Medical applications (general) (92C50)

Related Items (1)

Bayesian analysis of allelic penetrance models for complex binary traits

Uses Software

• MIM

Cites Work

• The TM algorithm for maximising a conditional likelihood function
• Finding Groups in Data
• A Graphical Chain Model Derived from a Model Selection Strategy for the Sociologists Graduates Study
• Introduction to Graphical Modelling
• Tests of Linearity, Multivariate Normality and the Adequacy of Linear Scores
• Interactive analysis of high-dimensional association structures with graphical models.
• Unnamed Item

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