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X-ORIGINAL-URL:https://canssiontario.utoronto.ca/
BEGIN:VEVENT
UID:MEC-33e3d8e7dbcb7fe59c05e30e078ced00@canssiontario.utoronto.ca
DTSTART:20241118T203000Z
DTEND:20241118T213000Z
DTSTAMP:20240807T170900Z
CREATED:20240807
LAST-MODIFIED:20240930
SUMMARY:CAST Seminar: Frank Harrell
DESCRIPTION:\nJoin us at the CANSSI Ontario STatistics Seminars (CAST) with\n\n\n\nFrank E. Harrell, Jr.\n\n\n\nProfessor, Department of Biostatistics, Vanderbilt University School of Medicine Expert Biostatistics Advisor, US FDA Center for Drug Evaluation and Research\n\n\n\nFree Virtual Event | Registration Required\n\n\n\nTalk Title\n\n\n\nOrdinal State Transition Models as a Unifying Risk Prediction Framework\n\n\n\nAbstract\n\n\n\nIn this talk I will present a case for the use of discrete time Markov ordinal longitudinal state transition models as a unifying approach to modeling a variety of outcomes for the purpose of estimating risk and expected time in a given state, and for comparing treatments in clinical trials. This model structure can be used to analyze time until a single terminating event, longitudinal binary events, recurrent events, continuous longitudinal data, and longitudinal ordinal responses including multiple events. Partial information can be formally incorporated using standard likelihood approaches without the need for imputation. The model also provides a formal way to assess evidence for consistency of a treatment effect over different outcomes.\n\n\n\nSpeaker Profile\n\n\n\nDr. Harrell received his PhD in Biostatistics from UNC in 1979. Since 2003 he has been Professor of Biostatistics, Vanderbilt University School of Medicine, and was the department chairman from 2003-2017. He is Expert Biostatistics Advisor to FDA CDER and was Expert Biostatistics Advisor for the Office of Biostatistics for FDA CDER from 2016- 2020. He is Associate Editor of Statistics in Medicine. He is a Fellow of the American Statistical Association and winner of the Association’s WJ Dixon Award for Excellence in Statistical Consulting for 2014. His specialties are development of accurate prognostic and diagnostic models, model validation, clinical trials, observational clinical research, cardiovascular research, technology evaluation, pharmaceutical safety, Bayesian methods, quantifying predictive accuracy, missing data imputation, and statistical graphics and reporting.\n
URL:https://canssiontario.utoronto.ca/event/cast-frank-harrell/
ORGANIZER;CN=CANSSI Ontario:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:CANSSI Ontario Statistics Seminars
LOCATION:Zoom (Online)
ATTACH;FMTTYPE=image/jpeg:https://canssiontario.utoronto.ca/wp-content/uploads/2024/08/Harrell-Frank-scaled.jpg
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