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UID:20260729T120037EDT-4036Vp9Uhd@132.216.98.100
DTSTAMP:20260729T160037Z
DESCRIPTION:In 2010\, a magnitude 8.8 earthquake hit Chile\, devastating pa
 rts of the country.  Having just completed its national socioeconomic surv
 ey (CASEN)\, Chile interviewed a subsample of respondents\, creating unusu
 al longitudinal data about the same individuals before and after a major d
 isaster.  The follow-up evaluated posttraumatic stress symptoms (PTSS) usi
 ng Davidson’s Trauma Scale.  We use these data with two goals in mind.  Mo
 st studies of PTSS following disasters rely on recall to characterize the 
 state of affairs prior to the disaster.  In contrast\, we use the CASEN to
  study effects of the earthquake on PTSS with prospective data on pre-expo
 sure conditions\, free of recall bias.  Second\, we illustrate recent deve
 lopments in statistical methodology for the design and analysis of observa
 tional studies.  In particular\, we use new and recent methods for multiva
 riate matching to control 46 covariates that describe demographics\, housi
 ng quality\, wealth\, health and health insurance prior to the earthquake.
   Also\, we use the statistical theory of design sensitivity to select a s
 tudy design whose findings are expected to be insensitive to small or mode
 rate biases from failure to control some unmeasured covariate.  We find th
 at posttraumatic stress symptoms were dramatically but unevenly elevated a
 mong residents of strongly shaken areas of Chile when compared to similar 
 individuals in largely untouched parts of the country.   In 96% of exposed
 -control pairs exhibiting substantial PTSS\, the exposed individual experi
 enced elevated symptoms (95% CI:[0.91\,1.00]).   
DTSTART:20121030T193000Z
DTEND:20121030T203000Z
LOCATION:CA\, Purvis Hall\, 1020 Pine Ave. West - Room 25
SUMMARY:Jose R. Zubizarreta - Designing an observational study to be less s
 ensitive to unmeasured biases:  effect of the 2010 Chilean earthquake on p
 osttraumatic stress.
URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/jose-r-zubizarret
 a-designing-observational-study-be-less-sensitive-unmeasured-biases-
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