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SUMMARY:Assessing causality in perinatal and developmental epidemiology - 
 Professor Debbie Lawlor\, University of Bristol\, MSc(Lond)\, MBChB\, PhD(
 Bristol)\, MPH(Leeds)\, MRCGP\, MFPHM  Professor of Epidemiology
DTSTART:20150306T130000Z
DTEND:20150306T140000Z
UID:TALK53423@talks.cam.ac.uk
CONTACT:Lucy Lloyd
DESCRIPTION:Whilst randomised controlled trials in pregnant women and chil
 dren are not impossible there are added restrictions and difficulties in e
 xperiments in these groups. As a result policy and clinical practice is of
 ten driven by observational evidence. For example\, recent international p
 olicy regarding diagnosing gestational diabetes and monitoring weight gain
  in pregnancy are based on traditional multivariable analyses in observati
 onal studies. In this talk I will talk about how causal understanding that
  this stage in the life course might be improved by triangulating findings
  from several approaches each of which has differing key sources of bias. 
 The approaches that will be looked at are cross cohort comparisons\, negat
 ive control studies\, matched study designs and Mendelian randomization (t
 he use of genetic variants as instrumental variables).
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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