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DTSTAMP:20250630T115701Z
DESCRIPTION:Directed Acyclic Graphs as a Tool to Reason about Causality\n\n
 Julia Rohrer\, University of Leipzig\n	Tuesday April 16\, 12-1pm\n	Zoom Link
 : https://mcgill.zoom.us/j/86855481591\n	In Person: 550 Sherbrooke\, Room 1
 89\n	\n	Abstract: Correlation does not imply causation -- but researchers of
 ten do want to learn about causation with the help of correlations (even i
 f they may not always be perfectly open about it). In this talk\, I will i
 ntroduce directed acyclic graphs (DAGs) as a helpful tool to reason about 
 causality more systematically. For example\, DAGs can be used to illustrat
 e how a large class of methodological problems across fields of research c
 an be explained by a single causal structure\, the inverted fork. They can
  also be expanded in various ways to tackle problems such as missing data 
 or generalization of effects across populations. I will try my best to con
 vince you that everybody\, including students\, should learn about DAGs to
  improve their statistical inferences.\n
DTSTART:20240416T160000Z
DTEND:20240416T170000Z
SUMMARY:QLS Seminar Series - Julia Rohrer
URL:/qls/channels/event/qls-seminar-series-julia-rohre
 r-356226
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