Harvard Catalyst | The Harvard Clinical & Translational Science CenterEvent Link | Register here | Email for more infoHang Lee, PhD will lead discussion on key statistical issues and related statistical methods arising in all phases of vaccine development. As an overview, a review paper by Heyse and Chan (2016) will be discussed first, and then a recently published work by Lin, Zeng, and Gilbert (2021) regarding the strategy to evaluate the long-term efficacy/duration of protection of COVID-19 vaccines.Biostatistics Program – Journal Club Announcement A Glimpse of Statistical Methods for Vaccine Evaluation Wednesday | November 17th, 2021 | 1:00pm – 2:00pm | via Zoom
Journal Club Articles:
- Joseph Heyes & Ivan Chan. Review of Statistical Innovations in Trials Supporting Vaccine Clinical Development, Statistics in Biopharmaceutical Research, 2016, 8:1, 128-142.
- Dan-Yu Lin, Donglin Zeng, and Peter Gilbert. Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines, Clinical Infectious Diseases, 2021 Mar 10:ciab226. doi: 10.1093/cid/ciab226. Online ahead of print. PMID: 33693529. See PDF of journal club article.
Hang Lee, PhD, is a statistician at MGH Biostatistics Center and Associate Professor of Medicine at Harvard Medical School and Associate Director for the Harvard Catalyst Biostatistics program at MGH.