Fruhling Rijsdijk

Fruhling Rijsdijk


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Personal profile

Research interests

Statistical genetics; behavioural genetics: developing methods for analysing (selected) data.

Research interests

Main interests include development of Structural Equation Models (SEM) for analyzing genetically sensitive family and twin data, in particular where ascertainment correction is required. This is the case when working with hospital ascertained samples of affected probands (e.g. schizophrenia, bipolar disorder) or when investigating the relationship between a disorder and endophenotypes. Other topics include genetic modelling of Latent Class membership, Gene x Environment interactions and correlations in SEM, and the application of Genetic Growth Curve modelling to describe the genetic factors influencing dynamic systems. The program currently used for genetic SEM is the new OpenMx, a free and open source software for use with R that allows estimation of a wide variety of advanced multivariate statistical models. The SGDP Summer School is one of the only two formal international courses teaching Twin Model Fitting in OpenMx.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Doctor of Philosophy, Genetic overlap of Neural Speed, Reaction Time and Cognitive Ability, VU Amsterdam

Award Date: 1 Jan 1997

Master in Science, Experimental Psychology, Neuropsychology, VU Amsterdam

Award Date: 1 Jan 1991


  • HA Statistics


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