A group of fourteen authors came together in February 2018 at the TIB (German National Library of Science and Technology) in Hannover to create an open, living handbook on Open Science training. High-quality trainings are fundamental when aiming at a …
The syntax or codes used to fit Structural Equation Models (SEMs) convey valuable information on model specifications and the manner in which SEMs are estimated. We requested SEM syntaxes from a random sample of 229 articles (published in 1998–2013) …
Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders. By pooling images from various cohorts, statistical power has increased, enabling the detection of subtle abnormalities and robust associations, …
The .05 boundary within Null Hypothesis Statistical Testing (NHST) “has made a lot of people very angry and been widely regarded as a bad move” (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What …
Objectives
To conduct a methodological overview of reviews to evaluate the reporting completeness and transparency of systematic reviews (SRs) of prognostic prediction models (PPMs) for COVID-19.
Study Design and Setting
MEDLINE, Scopus, Cochrane …
Reproducibility, the ability to reproduce the results of published papers or studies using their computer code and data, is a cornerstone of reliable scientific methodology. Studies where results cannot be reproduced by the scientific community …
This thesis examines schizotypal personality traits, risk factors for schizophrenia, through both frequentist and Bayesian network models. It replicates a prior frequentist analysis by Dodell-Feder et al. (2019) and introduces a Bayesian re-analysis …