BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250717T230558EDT-6164ivMIoa@132.216.98.100 DTSTAMP:20250718T030558Z DESCRIPTION:Title: Nonadherence in Dynamic Treatment Regimes – Moving Beyo nd Intention-to-Treat Analyses.\n\nAbstract: Dylan Spicker is a postdoctor al fellow at 9IÖÆ×÷³§Ãâ·Ñ\, 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\, 9IÖÆ×÷³§Ãâ·Ñ) URL:/mathstat/channels/event/dylan-spicker-phd-mcgill- university-342829 END:VEVENT END:VCALENDAR