Methods in Evidence Synthesis seminar (MESS)

Leon Di Stefano is a PhD candidate in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, supervised by Dr. Kasper Hansen and Prof. Elizabeth Stuart. His research uses ideas from multilevel and causal modelling to improve methods for pooling data across experiments. With Prof. Stuart he is developing a model for estimating heterogeneous treatment effects in schizophrenia and depression, and with Dr. Hansen he is working on tools to understand the overlapping disease-causing mechanisms underlying a class of rare genetic disorders. 

Leon will be talking to us about the issues he found in preparing data for an IPD (individual patient data) meta-analysis that he and colleagues prepared in response to the Covid pandemic.

Leon will be joined by Tianjing Li and other members of Johns Hopkins.

• Join Zoom Meeting: https://bristol-ac-uk.zoom.us/j/95784053931?pwd=ZkNLdi9BNzExak5NSDV1RWdrVVo0UT09
• Meeting ID: 957 8405 3931
• Passcode: 407223