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DTSTAMP:20250625T151519Z
DESCRIPTION:“Musings on statistical models vs. machine learning in health r
 esearch”\n\nFrank Harrell (Vanderbilt University)\n	Tuesday September 18\, 
 12-1pm\n	McIntyre Building\, Room 1027\n	\n	Abstract: Health researchers and 
 practicing clinicians are with increasing frequency hearing about machine 
 learning (ML) and artificial intelligence applications. They\, along with 
 many statisticians\, are unsure of when to use traditional statistical mod
 els (SM) as opposed to ML to solve analytical problems related to diagnosi
 s\, prognosis\, treatment selection\, and health outcomes. And many advoca
 tes of ML do not know enough about SM to be able to appropriately compare 
 performance of SM and ML. ML experts are particularly prone to not grasp t
 he impact of the choice of measures of predictive performance. In this tal
 k I attempt to define what makes ML distinct from SM\, and to define the c
 haracteristics of applications for which ML is likely to offer advantages 
 over SM\, and vice-versa. The talk will also touch on the vast difference 
 between prediction and classification and how this leads to many misunders
 tandings in the ML world. Other topics to be convered include the minimum 
 sample size needed for ML\, and problems ML algorithms have with absolute 
 predictive accuracy (calibration).\n
DTSTART:20180918T160000Z
DTEND:20180918T170000Z
LOCATION:Room 1027\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1
 Y6\, 3655 promenade Sir William Osler
SUMMARY:Seminar Series in Quantitative Life Sciences and Medicine
URL:/qls/channels/event/seminar-series-quantitative-li
 fe-sciences-and-medicine-289420
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