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UID:20240515T072138EDT-4744sDskup@132.216.177.157
DTSTAMP:20240515T112138Z
DESCRIPTION:Sreenath Madathil\, PhD\n\nAssistant Professor\n	Faculty of Dent
 al Medicine and Oral Health Sciences | McGill University\n\nWHEN: Monday\,
  February 19\, 2024 from 4 to 5 pm\n\nWHERE: Hybrid | 2001 McGill College\
 , Rm 1140 | Zoom\n\nNote: Dr. Madathil will be presenting in-person\n\nAbs
 tract\n\nLife-course epidemiology aims to understand the long-term effects
  of exposures during different life periods\, particularly their effects o
 n adult health and disease. A typology of hypotheses has been proposed in 
 the field of life-course epidemiology. Although conceptually simple\, inve
 stigating empirical evidence for these hypotheses has methodological chall
 enges. In other words\, statistical methods to identify the life course hy
 pothesis that best describes the time-dependent association between long-t
 erm exposure and later life health outcomes is a developing field. In this
  presentation\, using examples from the field of head and neck cancer epid
 emiology\, I will showcase a novel Bayesian modelling approach to investig
 ate life course hypotheses.\n\nLearning Objectives\n\nBy the end of this s
 ession\, attendees will:\n\n\n	Have an overview of the life course approach
  in chronic disease epidemiology\;\n	Become familiar with a set of modellin
 g approaches to investigate life course hypotheses\;\n	Understand the short
 comings and challenges in investigating the effects of protracted exposure
 s across an individual's life course.\n\n\nSpeaker Bio\n\nSreenath A Madat
 hil is a cancer epidemiologist whose work lies at the intersection of epid
 emiology\, dentistry\, and data science. His research interest is the deve
 lopment of advanced statistical models and machine learning approaches to 
 support the clinical decision-making process in oral health care. Dr. Mada
 thil's current research projects include i) the Bayesian approach for life
  course epidemiology\, ii) clinical prediction modelling\, and iii) uncert
 ainty quantification in deep learning models for health care applications.
  His research is supported by the Canadian Institutes of Health Research\,
  Canadian Immunity Task Force\, and Fonds de recherché du Quebec - Santé. 
 Dr. Madathil has obtained a bachelor's in dental surgery from the Universi
 ty of Calicut\, India\, and an MSc and Ph.D. in Craniofacial Health Scienc
 es from McGill University.\n
DTSTART:20240219T210000Z
DTEND:20240219T220000Z
SUMMARY:A Bayesian Approach to Investigate Life Course Hypotheses
URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/bayesian-approach
 -investigate-life-course-hypotheses-355283
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