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Current Approaches for Distributed Analysis

Michael Paterson, a smiling white man with short hair. Dr. Robert Platt, a white, bald, smiling man. Text reads: Federated analysis: state of the science collective learning series. Thursday, February 8. Health Data Research Network Canada logo at top.
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In the second webinar in the Federated Analysis: State of the Science Collective Learning Series, Michael Paterson, Principal Investigator for CNODES Ontario, and Dr. Robert Platt, CNODES Executive Co-Lead, explore current approaches to federated analysis as well as their respective benefits and limitations through practical use cases and discussions.

About the Speakers

Michael Paterson is a core scientist at ICES and an Assistant Professor in the Department of Family Medicine at McMaster University and the Institute of Health Policy, Management and Evaluation at the University of Toronto. He holds a Bachelor’s degree in Human Biology from the University of Guelph and a Master’s degree in Physiology from the University of Toronto. Michael has been Principal Investigator for the Ontario site of CNODES since its inception, and is currently a member of the CNODES Steering Committee, Database Team, Training Team, and Knowledge Translation Team.

Dr. Robert Platt is a Professor in the department Epidemiology, Biostatistics, and Occupational Health at McGill University. He holds the Albert Boehringer I endowed chair in Pharmacoepidemiology. Dr. Platt is the Executive Co-Lead of CNODES and has been leader of the Methods team of CNODES since its inception. His main research interests are statistical methods and applications for administrative data, pharmacoepidemiology, perinatal epidemiology, and methods for causal inference from epidemiological studies.

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No significant visuals. Text reads: Federated analysis. State of the Science collective learning series. Possibilities, Uncertainty & the Future of Federation. Logo for HDRN Canada in white on a dark blue background is at top left.