Renato Panaro is a research associate at Universitätsmedizin Göttingen with eight years of experience applying advanced statistical methods to clinical research, including survival analysis, structural equation modeling, and meta-analysis. He develops and maintains open-source R tools like "spsurv" and "bsem" to help researchers implement complex methodologies reproducibly. With an MSc in Statistics and an ongoing PhD in medical human sciences, he blends rigorous academic training with practical programming skills in R and SAS gained across international research placements. Renato has a track record of translating linear and time-to-event models into decision-ready insights for meta-analyses and clinical studies, often working collaboratively to embed statistical rigor into multidisciplinary teams. Notably, his background spans both Brazilian and German research environments, giving him a cross-cultural perspective on statistical problems and data-driven medical decision-making.
8 years of coding experience
1 year of employment as a software developer
High School, High School at Colégio La Salle Abel
Brazilian Scientific Mobility Program (Ciência sem Fronteiras), Business analytics, Brazilian Scientific Mobility Program (Ciência sem Fronteiras), Business analytics at University of Wisconsin-Platteville
Doctor of Philosophy - PhD, Medizinische Humanwissenschaften, Doctor of Philosophy - PhD, Medizinische Humanwissenschaften at Georg-August-Universität Göttingen
BSc in Statistics, Time Series Analysis, BSc in Statistics, Time Series Analysis at Universidade Federal Fluminense
MSc in Statistics and Probability Theory, Survival Analysis, MSc in Statistics and Probability Theory, Survival Analysis at Universidade Federal de Minas Gerais
Contributions:11 pushes, 1 branch in 3 years 2 months
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