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DTSTAMP:20260304T211724Z
DESCRIPTION:Sophia Yazzourh\, PhD\n	Postdoctoral Fellow\n	Department of Epide
 miology\, Biostatistics and Occupational Health | 91˿����Ƶ\n\nOmo
 tayo Olayoe\n\nPhD Candidate in Epidemiology | Vanier Scholar\n\nDepartmen
 t of Epidemiology\, Biostatistics and Occupational Health | 91˿����Ƶ Univers
 ity\n\nWHEN: Wednesday\, February 18\, 2026\, from 3:30 to 4:30 p.m.\n	WHER
 E: Hybrid | 2001 91˿����Ƶ College Avenue\, Rm 1140\; Zoom\n	NOTE: Sophia Yazz
 ourh and Omotayo Olayoe will be presenting in-person at SPGH \n\nAbstracts
 \n\nNear-Equivalent Q-learning Policies for Dynamic Treatment Regimes\n\nP
 recision medicine seeks to adapt treatments to individual patient profiles
  in order to deliver the right treatment to the right patient at the right
  time\, particularly in longitudinal settings with multiple decision point
 s. Dynamic Treatment Regimes provide a formal framework to model treatment
  as a sequence of adaptive decisions evolving with the patient’s clinical 
 trajectory. In this talk\, we focus on Near-Equivalent Q-learning Policies
 \, an extension of standard Q-learning that moves beyond the identificatio
 n of a single “optimal” strategy. Instead\, the method characterizes a set
  of statistically near-optimal treatment policies that achieve comparable 
 expected outcomes. This allows treatment decisions to remain data-driven w
 hile supporting clinically flexible strategies\, where multiple valid opti
 ons can coexist and be adapted to practical constraints.\n\nTrends in the 
 Prescription of Central Nervous System Depressants in Patients with Chroni
 c Obstructive Pulmonary Disease in the United Kingdom Primary Care\, 2000 
 – 2022\n\nPrescribing patterns of central nervous system (CNS) depressants
  have evolved in recent years\, but trends in patients with chronic obstru
 ctive pulmonary disease (COPD) remain unknown. Assessing these trends is e
 ssential given the potential risk of respiratory depression and other adve
 rse respiratory events in this population. Thus\, we examined time trends 
 in the prescription of CNS depressants among patients with COPD in UK prim
 ary care from 2000 to 2022.\n\nSpeaker Bios\n\nSophia Yazzourh: For more i
 nformation please visit: https://sophiayazzourh.github.io/\n	\n	Omotayo Olao
 ye: For more information\, please visit: https://www.linkedin.com/in/omota
 yo-olaoye/ \n
DTSTART:20260218T203000Z
DTEND:20260218T213000Z
SUMMARY:Near-Equivalent Q-learning Policies for Dynamic Treatment Regimes /
  Trends in the Prescription of Central Nervous System Depressants in Patie
 nts with Chronic Obstructive Pulmonary Disease in the United Kingdom Prima
 ry Care\, 2000 – 2022
URL:/epi-biostat-occh/channels/event/near-equivalent-q
 -learning-policies-dynamic-treatment-regimes-trends-prescription-central-n
 ervous-371228
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