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Strengthen your regression modeling and reproducible research skills with this online seminar designed for PhD students and professional researchers. This practical workshop introduces the R programming environment, RStudio, linear and multiple regression, and the rms package for model specification, estimation, diagnosis, and prediction. Participants will learn how to import and manage data, write script-based analyses, create reproducible HTML reports with Quarto, construct and interpret model formulas, fit and interpret regression models, test composite hypotheses, generate predictions and prediction intervals, and use diagnostic and graphical tools to assess model fit. A complete case study on body fat estimation demonstrates how to integrate data, code, graphics, interpretation, and reporting into a transparent and reproducible workflow. The seminar is available live via Zoom, with recordings, materials, data, code, and slides accessible online for 30 days after the seminar, plus a monitored Q&A forum for follow-up questions. On-demand access is also available, and participants receive an official Instats certificate of completion, with ECTS Equivalent points available where applicable. #Biostatistics #Epidemiology #QuantitativeMethods #SoftwareEngineering #Statistics #DataScience #ComputerScience #R #RStudio #Quarto #Research #ResearchTraining #Instats