useR! 2024

Ever struggled with how to report and explain the results of a statistical model you just fit? Do not worry, the CompInt R-package is here to help you with this more than common problem! In fact, misinterpretations of statistical significance and classical effect measures like odds ratios are widespread, even among researchers familiar with their definitions. More than that, trying to compare or accumulate the results from several different models, as is the goal of multi-analyst studies and Meta-analysis, there currently really does not exist a uniform gold standard. Based on [Kümpel & Hoffmann](https://arxiv.org/pdf/2211.02621.pdf), the CompInt package implements a general reporting framework, allowing for the consistent derivation of effect size measure definitions and visualization techniques aimed at maximizing the interpretability and comparability of regression results. This session will highlight the importance of transparent reporting, explain the possible specifications of the framework, and generally showcase the applications of the CompInt package.