Risk prediction models can be used to estimate the probability of either having (diagnostic
model) or developing a particular disease or outcome (prognostic model). In clinical practice, …

… Joris AH de Groot Joris AH de Groot … Reitsma, Karel GM Moons, Joris AH de Groot, Latent
Class Models in Diagnostic Studies When There is No Reference Standard—A Systematic …

… Joris AH de Groot , Joris AH de Groot … Karel Moons and Joris de Groot contributed
equally to the work, and both should be considered as first authors. …

Carl Moons and colleagues provide a checklist and background explanation for critically
appraising and extracting data from systematic reviews of prognostic and diagnostic …

Binary logistic regression is one of the most frequently applied statistical approaches for
developing clinical prediction models. Developers of such models often rely on an Events Per …

Background Ten events per variable (EPV) is a widely advocated minimal criterion for sample
size considerations in logistic regression analysis. Of three previous simulation studies …

Background A physician is frequently unable to distinguish bacterial from viral infections.
ImmunoXpert is a novel assay combining three proteins: tumour necrosis factor-related …

10.7554/eLife.24260.001 Meta-analyses are increasingly used for synthesis of evidence from
biomedical research, and often include an assessment of publication bias based on visual …

Background: Electromagnetic navigation bronchoscopy (ENB) has been widely adopted as
a guidance technique for biopsy of peripheral lung nodules. However, ENB is limited by the …

… Christiana A Naaktgeboren PhD fellow, Loes CM Bertens PhD fellow, Maarten van
Smeden PhD fellow, Joris AH de Groot assistant professor, Karel GM Moons professor …