Stefan de Vogel, John D Seeger, Alejandro Arana, Andrea V Margulis, Lisa J McQuay, Susana Perez-Gutthann, Jesper Hallas, Nina Sahlertz Kristiansen, Marie Linder, Ingvild Odsbu, Brandon Suehs, Yihua Xu, Claudia Uribe, Kwame Appenteng, Noah Jamie Robinson
Lessons learned from a multi-data source research collaboration: The mirabegron post-authorization safety study program
Pharmacoepidemiology and drug safety
computational perspective bayesian methods viewed natural extension familiar confidence intervals significance tests sheds light meaning viewpoint shows special software required compute bayesian results leaving distinctions conventional bayesian analyses conceptual realm key bayesian concepts may grasped easily required proper use conventional methods concepts allow one reexamine results bayesian perspective complement prevent misinterpretation conventional results thus even frequentist results remain norm presentation inclusion bayesian perspectives teaching analysis strongly recommended