Chair at Utrecht University:
Methods and techniques for the social and behavioural sciences - Started October 2015
Inaugural lecture: February 10, 2017. Title: Small step or giant leap? Op de weg naar transparante (subjectieve) wetenschap ("Towards transparent (subjective) science"). Full text
Member of the consortium: Prompted Rationality: Roadmaps to a New Public Policy for Promoting Autonomous Choice and Societal Benefits.
Chair at University of Twente (from Jan 2015 - Dec 2017):
Bayesian modelling using informative priors
Key publications on the use of informative priors:
- Ni, H., Groenwold, R.H.H., Nielen, M., Klugkist, I. (2018). Prediction models for clustered data with informative priors for the random effects: a simulation study. BMC Medical Research Methodology.
- Rietbergen, C., Groenwold, R.H.H., Hoijtink, H.J.A., Moons, K.G.M., Klugkist, I. (in press). Expert Elicitation of Study Weights for Bayesian Analysis and Meta-Analysis. Journal of Mixed Methods Research, DOI: 10.1177/1558689814553850.
- Rietbergen, C.,Klugkist, I., Janssen, K.J.M., Moons, K.G.M., Hoijtink, H. (2011). Incorporation of Historical Data in the Analysis of Randomized Therapeutic Trials. Contemporary Clinical Trials, 32, 848-855.
VIDI project:
A different angle: new tools for circular data (website)
Started November 2013
Key publications on circular data analysis
- Cremers, J. Mulder, K. T., Klugkist, I. (2018). Circular interpretation of regression coefficients. British Journal of Mathematical and Statistical Psychology, 71(1), 75-95.
- Mulder, K. T. & Klugkist, I. (2017). Bayesian estimation and hypothesis tests for a circular Generalized Linear Model. Journal of Mathematical Psychology, 80, 4-14.
- Baayen, C.,Klugkist, I. (2014). Evaluating order-constrained hypotheses for circular data from a between-within subjects design. Psychological Methods, 19, 398-408.
PhD-thesis:
Inequality Constrained Normal Linear Models
Defence: February 11th, 2005 - cum laude
Key publications on informative hypothesis:
- Klugkist, I. and Hoijtink, H. (2007). The Bayes Factor for Inequality and About Equality Constrained Models. Computational Statistics and Data Analysis, 51, 6367-6379.
- Klugkist, I., Laudy, O. and Hoijtink, H. (2005). Inequality Constrained Analysis Of Variance: A Bayesian Approach. Psychological Methods, 10, 477-493.
Book:
Hoijtink, H., Klugkist, I. and Boelen, P.A., eds. (2008). Bayesian Evaluation of Informative Hypotheses. New York: Springer.
PhD-students:
- Joris Mulder (December 3rd, 2010) - cum laude
- Floryt van Wesel (July 1st, 2011)
- Charlotte Rietbergen (February, 2016)
- Leonie van Grootel (May 2018)
- Haifang Ni (2018)
- Jolien Cremers (2018)
- Kees Mulder (2018)
- Fayette Klaassen (2019)
- Karlijn Soppe (2021)
- Marieke Westeneng den Otter (2021)
- Erik-Jan van Kesteren (2021)
- Hidde Leplaa (2023)