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Webinar: Biostatistics and Bioinformatics Seminar – ‘A Principled Statistical Learning Framework for the Minimal Clinically Important Difference’
September 1, 12:00 pm to 1:00 pm
Presented by: Jiwei Zhao, PhD, Assistant Professor in the Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison
About the seminar: In clinical research, the effect of a treatment or intervention is widely assessed through statistical significance. However, the limitations and some misunderstandings of statistical significance have been documented over the years. Statistical significance does not necessarily imply clinical importance; whereas statistical non-significance also does not necessarily indicate clinical un-importance. In this talk, I will present a principled statistical learning framework for both magnitude estimation and uncertainty quantification of minimal clinically important difference, a pivotal concept to learn clinical importance. I will also present some simulation results as well as the application of the proposed method to the ChAMP trial, a randomized controlled trial to determine whether there exists a significant difference in post-operative knee pain between patients undergoing debridement versus observation of chondral lesions in the knee surgery.
To join via Zoom, visit https://pshealth.zoom.us/j/96786475339
Passcode to enter seminar: 013520
Dial In: 929-205-6099
Meeting ID: 967 8647 5339