Sara Keetelaar

Sara Keetelaar is a PhD student in Psychological Methods at the Department of Psychology, University of Amsterdam, where Keetelaar has been enrolled since 2022. Keetelaar's research focuses on statistical methods for psychological networks, with particular emphasis on Bayesian approaches to graphical modeling, parameter estimation, and conditional independence testing in psychometric networks. Keetelaar's work spans topics including Bayes factors, prior sensitivity analysis, the Ising model, and maximum likelihood and pseudolikelihood estimation methods, and includes development of accessible computational tools such as the easybgm R package designed to simplify Bayesian graphical analysis for social science researchers.