Publications

Bayesian statistics and modelling

Bayesian statistics is an approach to data analysis based on Bayes' theorem, where available knowledge about parameters in a …

Generalized Linear Randomized Response Modeling using GLMMRR

Randomized response (RR) designs are used to collect response data about sensitive behaviors (e.g., criminal behavior, sexual desires). …

Speech discrimination in infants at family risk of dyslexia. Group and individual-based analyses

Deficiencies in discriminating and identifying speech sounds have been widely attested in individuals with dyslexia as well as in young …

The Data Representativeness Criterion. Predicting the Performance of Supervised Classification Based on Data Set Similarity.

In a broad range of fields it may be desirable to reuse a supervised classification algorithm and apply it to a new data set. However, …

Expert Elicitation for Latent Growth Curve Models. The Case of Posttraumatic Stress Symptoms Development in Children With Burn Injuries

Experts provide an alternative source of information to classical data collection methods such as surveys. They can provide additional …

A Tutorial on Using The Wambs Checklist to Avoid The Misuse of Bayesian Statistics

This chapter guides readers through the steps of the When-to-Worry-and-How-to-Avoid-the-Misuse-of-Bayesian-Statistics checklist (the …

The Importance of Collaboration in Bayesian Analyses with Small Samples

This chapter addresses Bayesian estimation with (weakly) informative priors as a solution for small sample size issues. Special …

A step forward. Bayesian hierarchical modelling as a tool in assessment of individual discrimination performance

Individual assessment of infants' speech discrimination is of great value for studies of language development that seek to relate early …

Standard Errors, Priors, and Bridge Sampling. A Discussion of Liu et al.

Liu, Hu, Cao, Wang, and Chen (2019) present five methods to estimate the marginal likelihood of Item Response Theory (IRT) models and …

Meta analysis of the outcomes of treatment of internal carotid artery near occlusion

Background. Guidelines recommend treating patients with an internal carotid artery near occlusion (ICANO) with best medical therapy …

Generalized Linear Mixed Models for Randomized Responses

Response bias (nonresponse and social desirability bias) is one of the main concerns when asking sensitive questions about behavior and …

Using the Data Agreement Criterion to Rank Experts' Beliefs

Experts' beliefs embody a present state of knowledge. It is desirable to take this knowledge into account when making decisions. …

Proposal for a Five-Step Method to Elicit Expert Judgment

Elicitation is a commonly used tool to extract viable information from experts. The information that is held by the expert is extracted …