This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers.
The session demonstrated how Bayesian approaches enhance traditional methods through their better handling of uncertainty, missing data, and diverse evidence sources, ultimately providing more robust and intuitive frameworks for evidence-based decision making.
The session was open to everyone, and of particular interest to non-meta-analysts. It was delivered in January 2026 and below you will find the video from the webinar, together with the accompanying slides to download [PDF].
Presenter Bio
Prof. Gian Luca Di Tanna focuses on making biostatistical methods accessible for healthcare decision-making, with particular expertise in Bayesian approaches and evidence synthesis spanning over 25 years. As Full Professor at SUPSI and former Head of Biostatistics at the George Institute for Global Health, he bridges theory and practice in biostatistics, meta-analysis and health economics. A Chartered Statistician recognized among Stanford's Top 2% Scientists, he recently co-authored with Robert Grant the book "Bayesian Meta-Analysis: A Practical Introduction" (CRC Press, 2025).
