Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...
Background An increasing number of people live with aortic prosthetic valves. Over time, up to 10% of them may develop ...
Objectives The intrauterine environment may influence childhood immune-mediated disease risk. We investigated whether ...
Objective To evaluate the association between use of newer glucagon-like peptide-1 receptor agonists (GLP-1 RAs; semaglutide, ...
Two applied case studies demonstrating how I select statistical methods, test assumptions, quantify effects and translate results into practical decisions. The project combines non-parametric testing, ...
Introduction Medical residents frequently experience anxiety, depression, burnout and suicidal ideation. Existing support ...
Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...
End-to-end Bayesian linear regression pipeline: conjugate baselines + non-conjugate priors, adaptive Metropolis-within-Gibbs, and rigorous diagnostics (R-hat/ESS/MCSE) with posterior predictive checks ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results