Add to my calendar2023-09-27 12:00:002023-09-27 13:00:00Therapeutics Initiative: Introduction to a New Risk of Bias Tool for Network Meta-Analysis
Please join us for an online session with Dr. Carole Lunny as she will describe a new tool designed specifically to assess the risk of bias in network meta-analyses. Network meta-analyses (NMA) provide comparative evidence about the effects of all healthcare interventions for a given condition. However, NMA results can be undermined by flaws in design, conduct, analyses and reporting. Several tools are available for the critical appraisal of an NMA. However, none aim specifically to assess the risk of bias in a network meta-analysis".
Speaker:
Dr. Carole Lunny, Research Associate, Knowledge Translation (KT) Program, University of Toronto (UofT)
How to join:
Register
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Disclaimer: The CME Event Calendar contains information originating from other sources. While every attempt is made to ensure that all information is accurately referenced, we do not guarantee the accuracy, quality or CME accreditation of posted events. Before registering for this event, please refer to the provincially harmonized CME Policy regarding reimbursement requirements for courses and conferences. The content is tailored to a medical audience and is not intended as public health communication.
Online Event
Physician Educationphysician.education@northernhealth.caAmerica/Vancouverpublic
Add to Calendar: Start date2023-09-27 12:00:002025-05-09 01:06:10TitleDescriptionLocationPhysiciansrajbir.singh@opin.caAmerica/Vancouverpublic
Add to Calendar: End Date2025-05-09 01:06:102023-09-27 13:00:00Therapeutics Initiative: Introduction to a New Risk of Bias Tool for Network Meta-Analysis
Evidence about the effects of all healthcare interventions for a given condition
Online Event
Physiciansrajbir.singh@opin.caAmerica/Vancouverpublic
Please join us for an online session with Dr. Carole Lunny as she will describe a new tool designed specifically to assess the risk of bias in network meta-analyses. Network meta-analyses (NMA) provide comparative evidence about the effects of all healthcare interventions for a given condition. However, NMA results can be undermined by flaws in design, conduct, analyses and reporting. Several tools are available for the critical appraisal of an NMA. However, none aim specifically to assess the risk of bias in a network meta-analysis".
Speaker:
Dr. Carole Lunny, Research Associate, Knowledge Translation (KT) Program, University of Toronto (UofT)
Disclaimer: The CME Event Calendar contains information originating from other sources. While every attempt is made to ensure that all information is accurately referenced, we do not guarantee the accuracy, quality or CME accreditation of posted events. Before registering for this event, please refer to the provincially harmonized CME Policy regarding reimbursement requirements for courses and conferences. The content is tailored to a medical audience and is not intended as public health communication.
