Abstract
Causal influences on complex phenotypes cannot always be directly observed, but familial influences can be inferred from patterns of interrelationships among a set of variables (i.e., phenotypes observed on different classes of relatives). Path analysis was developed as a method of using structural linear regression analysis to explain the observed interrelationships among variables in the context of a specified model and to determine the impact of hypothesized causal influences on the observed variable (Wright, 1921 1978;Li, 1975).
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Vogler, G.P., Rao, D.C. (1993). Path Analysis in Genetic Epidemiology: Theory and Applications. In: Majumder, P.P. (eds) Human Population Genetics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2970-5_19
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DOI: https://doi.org/10.1007/978-1-4615-2970-5_19
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