This 4-day course will teach the basic principles of the twin model as well as the basic skills to analyse twin data by teaching delegates how to write simple scripts and how to interpret the output. The lectures and practicals will cover: (i) introduction to R and OpenMx; (ii) univariate and multivariate models applied to continuous raw data; (iii) univariate liability threshold models (ordinal data); (iv) sex-limitation models; (v) GxE interaction models; (vi) Children-of-Twin models. In addition; we cover the basic concepts of structural equation modelling like: matrix algebra; path tracing; model identification; maximum likelihood estimation and power.
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