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SUMMARY:Virtual BSU Seminar: &quot\;A flexible sensitivity analysis for sa
 mple selection bias&quot\; - Matt Tudball\, University of Bristol
DTSTART:20220210T140000Z
DTEND:20220210T150000Z
UID:TALK168857@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Selection bias can occur when a sample differs systematically 
 from the population from which it was drawn. This can distort statistical 
 quantities and lead to erroneous inferences. Selection bias can be difficu
 lt to address when there is limited information available on the populatio
 n. In this talk\, I will describe a sensitivity analysis for selection bia
 s which is able to flexibly incorporate a wide variety of population-level
  information (e.g. summary statistics\, negative controls\, shape constrai
 nts)\, while providing valid statistical inference. Applications include 1
 ) estimating the effect of education on income in UK Biobank and 2) estima
 ting risk factors for Covid-19 infection within a sample of individuals wh
 o have received a Covid-19 test. Please see the pre-print for more details
 : https://arxiv.org/abs/1906.10159
LOCATION:Virtual Seminar 
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