Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...

Now over 20 years old, functional MRI (fMRI) has a large and growing literature that is best synthesised with meta-analytic tools. As most authors do not share image data, only the peak activation ...

Background Contemporary guidelines by the European Society for Cardiology and American College of Cardiology/American Heart ...

Treatment, tolerability and outcomes of enfortumab vedotin plus pembrolizumab in advanced urothelial carcinoma: An analysis of the Austrian enfortumab registry. Bayesian re-analysis of outcome ...

How do you shape perception ethically when storytelling beats facts? Here is a case for ethical storytelling in our current ...