BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Causal Inference from 2-level factorial designs - Dasgupta\, T (Ha
 rvard)
DTSTART:20110830T133000Z
DTEND:20110830T140000Z
UID:TALK32561@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:A framework for causal inference from two-level factorial and 
 fractional factorial designs with particular sensitivity to applications t
 o social\, behavioral and biomedical sciences is proposed. The framework u
 tilizes the concept of potential outcomes that lies at the center stage of
  causal inference and extends Neyman's repeated sampling approach for esti
 mation of causal effects and randomization tests based on Fisher's sharp n
 ull hypothesis to the case of 2-level factorial experiments. The framework
  allows for statistical inference from a finite population\, permits defin
 ition and estimation of parameters other than "average factorial effects" 
 and leads to more flexible inference procedures than those based on ordina
 ry least squares estimation from a linear model. It also ensures validity 
 of statistical inference when the investigation becomes an observational s
 tudy in lieu of a randomized factorial experiment due to randomization res
 trictions.\n\n\n
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR