A researcher with a passion for applied statistics, Rens van de Schoot (born in 1979) naturally seeks to collaborate with scientists in other disciplines.
The aim that drives his work forward is to develop methods incorporating expert knowledge (for example the opinions of physicians, nurses, or teachers) into data analyses in order to prove or disprove hypotheses with greater certainty than is possible based on data alone. For example, a teacher’s familiarity with her pupil’s abilities can be set off against the pupil’s test result. Van de Schoot emphasises transparency and scientific integrity in his work with young researchers.
Science ethics and integrity. PhD routes, delay and fraud. Bayesian statistics. Longitudinal data analysis. Expert data conflicts
