Since August 2015, Elise Dusseldorp is associate professor in the Methodology and Statistics group at the Institute of Psychology, Leiden University.
Her main area of interest in the field of statistics is the modelling of interaction effects in prediction problems. While many statistical models focus on the unique effects of predictive factors on one or more outcome variables, her challenge is to explore the way in which the combined influences of factors on an outcome can be assessed. A few of her special interests are:
- Treatment-subgroup interactions: interaction effects between a treatment variable and person characteristics indicating that a treatment effect differs for different groups of persons
- Tree-based models, recursive partitioning
- Regression and classification
- Meta-analysis and moderator effects
- Patient-tailored therapy
- Prediction of disabilities in children (Intellectual disability, Specific Language Impairment)
- Prediction of functional decline in elderly
Besides her statistics research, she likes working together with behavioural and medical scientists. Transforming research problems into data analysis strategies and extracting the essential information from large data sets is a challenge she enjoys. More recently, she has become involved in discussing research outcomes with other experts from different fields and, where possible, transforming scientific knowledge into tools for use in everyday practice.
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