Welcome to my UU-webpage.
I am an associate professor at the Department of Methods and Statistics at 木瓜福利影视 Utrecht. I am passionate about doing research in the field of (bio)statistics & psychometrics and behavioural & social sciences, since there are a lot of statistical challenges I like to tackle (which in the end also contribute to society).
My specializations are
- ,
- (Bayesian) evidence synthesis, and
- lagged-effects modeling.
I teach the first three subjects in the postgraduate course "" (drop me a line when you are interested in an e-learning course). Together with a PhD student, I developed the information criterion GORICA (). I have applied GORICA to
- structural equation models (SEM models) in
[I teach about this in ]
- 'CTmeta-analyzed' parameters (1), and
[I teach about this in ]
- meta-analysis ().
Furthermore, I combine the fourth subjects, lagged-effects models, with my theory-based model selection expertise, for which I received a VENI-grant (2016-2020). In , Ois铆n Ryan and I address both the continous-time (CT) and discrete-time (CLPM/VAR(1)) lagged-effects model and we give insight in when you should definitely use a CT-model and when a discrite-time model would suffice. We also developed CTmeta: meta-analysis for the time-interval dependent lagged parameters of these lagged-effects models (). Additionally, I showed how the information criterion GORICA can be applied to order restrictions on the resulting overall estimates (). I teach about this in the postgraduate course "".
Because of the calls for replication and the unexploited wealth of information in existing and future conceptual replications (more specifically, studies using diverse designs) and the recent developments in model selection (e.g. ; ; ), my current research focus is to connect my knowledge of evidence synthesis (; ; ; ) with my expertise in . The developed and to-be-developed methods will harness the combined potential of heterogeneous and homogeneous studies: which increases the power, robustness, and generalizability of findings; and it will render previously inaccessible insights into societal problems. In 2022, I was awarded NWO Aspasia funding to work on this (and to become an associate professor). My team and I will develop methods such that evidence for theory-based, informative hypotheses can be aggregated, including evidence from studies with heterogenous study-designs like in conceptual replications. The current and preliminary findings are addressed in the postgraduate course "" (drop me a line when you are interested in an e-learning course).
I made software and interactive web applications (Shiny apps). These are all free of use (in turn for referring to my work in case you use it for a publication):
- Under the tab Software you can find the free software I made with respect to hypothesis testing and model selection (both stand-alone software and R functions). For tutorials and example R files, check out: In case you want to know more about the AIC-type criterion GORIC, please click .
- Under the tab Websites / Shiny apps you can find the interactive web apps and R functions I have made for the first-order discrete-time model (i.e., VAR(1)) and continuous-time model (CTM).
Have fun with them and do not hesitate to contact me in case of questions.
For more research output:
- Under the tab CV you can download my CV and my publications can also be found under the tab Research output.
- (on my GitHub page), you can find html tutorial files with R code for the GORIC and GORICA (when having one or more studies).
- (on my GitHub page), you can also find a (html and pdf) vignette/tutorial for CTmeta ("Introduction to CTmeta...").
- I also share R scripts and more on .