
STATISTICAL CALCULATIONS FOR TRIALS SOFTWARE
They are involved in the development of theory and its implementation in the R package bain and the free software jasp. Statisticians from the department of Methodology and Statistics are leading experts in the field of Bayesian informative hypothesis testing. These are then evaluated on the basis of the Bayes Factor, which quantifies the amount of support for an informative hypothesis, given the data. With this approach one or more informative hypotheses are formulated, based on findings in the literature, expert knowledge or expectations. This approach has received severe criticism and Bayesian informative hypothesis testing has been developed as an alternative. This approach relies on null hypothesis significance testing, where a null hypothesis of no effect is tested. The common approach to sample size calculation is statistical power analysis. We offer free Dutch language courses.įunding agencies and (medical) ethical committees often demand a sample size calculation to be included in research proposals.

You have well-developed analytical skills.Preferably you are familiar with R, conducting a simulation study, multilevel (mixed) models and Bayesian informative hypothesis testing.You have (completed or almost completed) a Master’s degree in the field of Methodology and Statistics.


We are looking for an enthusiastic colleague (m/f/x) who meets the requirements below:
