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SUMMARY:Patterns of vulnerability in pregnancy and early childhood: Measur
 ement\, interactions\, effect moderation and random coefficients in latent
  variable models - Andrew Pickles\, Institute of Psychiatry\, King's Colle
 ge London
DTSTART:20110405T133000Z
DTEND:20110405T143000Z
UID:TALK28784@talks.cam.ac.uk
CONTACT:Michael Sweeting
DESCRIPTION:As yet models for developmental data rarely do justice to the 
 complexity of measurement and process. We examine models for inferring abn
 ormality within a context of developmental delay and for characterising th
 e effects of pre-natal programming. In the first we use the SNAP and MLS s
 tudies of autism and specific language impairment to highlight the complex
  censoring that occurs when we attempt to use “regression” in language
  as an indicator of neurodevelopmental abnormality and the counter-intuiti
 ve associations to which it gives rise. In the second we explore foetal pr
 ogramming of markers of emotional regulation and the potential compensator
 y effects of early parenting. We estimate a model using gllamm in which a 
 maternal behaviour latent variable derived from 4 ordinal items by an Item
 -Response Theory measurement model\, moderates the impact of both maternal
  depression at 32-weeks of pregnancy and poor intra-uterine growth\, on 6-
 month infant vagal tone and on vagal withdrawal in response to a social st
 ressor.\n\nGLLAMM – Generalized Linear Latent and Mixed Model
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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