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DESCRIPTION:Title: Nonadherence in Dynamic Treatment Regimes – Moving Beyo
 nd Intention-to-Treat Analyses.\n\nAbstract: Dylan Spicker is a postdoctor
 al fellow at McGill University\, supported by the CRM StatLab and CANSSI\,
  under the supervision of Dr. Erica Moodie. Prior to their postdoc\, Dylan
  completed their PhD and MMath in Statistics at the University of Waterloo
 . Dylan's research focuses on the development of statistical methods for c
 ausal inference\, both using observational data in a longitudinal context 
 and data which arise from respondent-driven sampling\, with a particular i
 nterest in developing methods which are broadly accessible and applicable 
 in a wide variety of settings. Website: https://www.dylanspicker.com/\n\n
 \nDynamic treatment regimes (DTRs) are sequences of treatment rules that u
 se patient-level information to inform treatment decisions. DTRs provide o
 ne framework for formalizing precision medicine in a longitudinal context.
  The estimation of optimal DTRs is an area of research which has received 
 considerable attention\, and which often assumes that patients perfectly a
 dhere to their prescribed treatments. If patients may deviate from their a
 ssigned treatments\, then applying standard DTR methods produces causal es
 timates for the impact of the treatment assignment\, not the treatment its
 elf. The causal impact of treatment is often of substantive interest. I wi
 ll discuss the consequences of ignoring patient nonadherence in DTRs\, pay
 ing attention to how this differs from nonadherence generally. I outline a
  framework which\, through the modification of a commonly used DTR estimat
 ion technique\, restores the desired causal interpretation. This allows es
 timation of optimal DTRs in the presence of nonadherent patients when trea
 tment is a binary indicator.\n\n \n\nVia Zoom - Please visit our website a
 t: www.mcgill.ca/epi-biostat-occh/news-events/seminars/biostatistics \n\n 
 \n
DTSTART:20221019T193000Z
DTEND:20221019T203000Z
SUMMARY:Dylan Spicker (PhD\, McGill University)
URL:https://www.mcgill.ca/mathstat/channels/event/dylan-spicker-phd-mcgill-
 university-342829
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