Twin Model Fitting (Open MX) Course

Course Directors: Dr Helena Zavos, Dr Tom McAdams & Dr Frühling Rijsdijk

Course Description:

This 4-day course is designed for post-graduate students, post-doctoral researchers, and clinical researchers who wish to learn more about or move into the field. The course will teach the basic principles of the twin model as well as the basic skills to analyze twin data by teaching delegates how to write simple scripts and how to interpret the output. We will use OpenMx, a free open source software, which works as an integral part of the R statistical software system. The content of the course is aimed primarily at researchers who are planning to conduct twin data analyses and will include a fair amount of program specific features. Knowledge of R is not necessary. 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.

 

 Course fee information:

The full fee for the course is £700

KCL staff and students receive a reduced rate of £350

 

For more information and to apply for this course, please see the King's short courses portal here.