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UID:20250510T171701EDT-7806g6G41T@132.216.98.100
DTSTAMP:20250510T211701Z
DESCRIPTION:Register here\n\nWhile the analysis of administrative databases
  and surveys is vital to understanding population health and health inequa
 lities\, many of these datasets do not include gender measures. This sessi
 on will explore the challenge of conducting sex- and gender-based analyses
  when self-reported gender measures are unavailable. Overcoming this chall
 enge will be important for inclusive and accountable public health evidenc
 e-based decision-making.   \n\nAgenda\n\n12:00-12:05 PM Welcome & Introduc
 tions\n	12:05-12:45 PM Lecture session\n	12:45-12:55 PM Moderated Q&A\n	12:55
 -1:00 PM Closing and upcoming sessions\n\nLocation\n\nThis is an online we
 binar hosted on Zoom. To receive details to enter the event\, please regis
 ter. \n\nSpeakers\n\n\n	\n		\n			\n				 \n\n				\n\n				 \n			\n			\n				Anaïs Lacasse\, PhD\, is a fu
 ll professor and chronic pain epidemiologist in the Department of Health S
 ciences of the University of Quebec in Abitibi-Témiscamingue (Quebec\, Can
 ada). She teaches epidemiology and biostatistics in undergraduate and grad
 uate nursing and health programs since 2009. Her research program aims to 
 better understand the treatment of chronic pain in the real-world context 
 and in large populations. She explores three complementary research axes: 
 1) The healthcare trajectories of people living with chronic pain\, 2) The
  use of drugs for the treatment of chronic pain\, and 3) The linkage and v
 alidation of large databases and measurement scales for research in this f
 ield. Sex & gender as potential determinants of chronic pain treatment con
 stitutes an angle of her research program. She is actively involved in sev
 eral research networks\, especially as the Co-Director of the Quebec Pain 
 Research Network (QPRN) and as the Scientific Director of the TorSaDe Coho
 rt.\n\n				 \n			\n		\n	\n\n\nWhat are Lunch&Learn's?\n\nThe CAnD3 Lunch&Learn serie
 s is designed to introduce our Fellows\, team members\, and partners to em
 erging research on topics related to population dynamics and population ag
 ing. These modules will cover the Four CAnD3 Population Aging Axes: (1) fa
 mily and social inclusion\; (2) education\, labour and inequality\; (3) mi
 gration and ethnicity\; and (4) wellbeing and autonomy.\n\nCAnD3 Newslette
 rs\n\nSign up for our newsletter to keep up to date with CAnD3 events.\n\n
  \n
DTSTART:20230111T170000Z
DTEND:20230111T180000Z
LOCATION:CA\, Webinar
SUMMARY:Sex- and gender-based analyses using existing data without a gender
  measure: Is it possible?
URL:/cand3/channels/event/sex-and-gender-based-analyse
 s-using-existing-data-without-gender-measure-it-possible-344143
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