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DTSTART;TZID=America/Los_Angeles:20170609T120000
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DTSTAMP:20260427T084045
CREATED:20170530T220912Z
LAST-MODIFIED:20170530T220912Z
UID:10000563-1497009600-1497013200@ccpr.ucla.edu
SUMMARY:James Robins\, Harvard University
DESCRIPTION:The UCLA Departments of Epidemiology\, Biostatistics\, Statistics and the Center for Social Statistics presents:\nCausal Methods in Epidemiology: Where has it got us and what can we expect in the future?\nThe principal focus of Dr. Robins’ research has been the development of analytic methods appropriate for drawing causal inferences from complex observational and randomized studies with time-varying exposures or treatments. The new methods are to a large extent based on the estimation of the parameters of a new class of causal models – the structural nested models – using a new class of estimators – the G estimators.\nPlease RSVP: https://goo.gl/wScewQ \nSpeaker:\nJames Robins\, Mitchell L. and Robin LaFoley Dong Professor of Epidemiology\, Harvard University\nhttps://www.hsph.harvard.edu/james-robins/
URL:https://ccpr.ucla.edu/event/james-robins-harvard-university/
LOCATION:Room 33-105 CHS Building\, 650 Charles E Young Drive South\, Los Angeles\, CA\, 90095 \, United States
CATEGORIES:CSS Events
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