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SUMMARY:Bounds for causal effects using sensitivity parameters on the risk
  difference scale
DTSTART:20211008T151500
DTEND:20211008T170000
DTSTAMP:20260407T112943Z
UID:12d0e76f880b655e85e286043fb860493f4edbb77a38f99de9f704d6
CATEGORIES:Conferences - Seminars
DESCRIPTION:Arvid Sjölander\, Karolinska Institutet Stockholm\nUnmeasured
  confounding is an important threat to the validity of observational studi
 es. A common way to deal with unmeasured confounding is to compute bounds 
 for the causal effect of interest\, that is\, a range of values that is gu
 aranteed to include the true effect\, given the observed data.\nRecently\,
  bounds have been proposed that are based on sensitivity parameters\, whic
 h quantify the degree of unmeasured confounding on the risk ratio scale. T
 hese bounds can be used to compute an “E-value”\, that is\, the degree
  of confounding required to explain away an observed association\, on the 
 risk ratio scale.\n\nWe complement and extend this previous work by derivi
 ng analogous bounds\, based on sensitivity parameters on the risk differen
 ce scale. We compare our novel bounds with previous bounds through a real 
 data example and a simulation study.\n 
LOCATION:ELD 020 https://plan.epfl.ch/?room==ELD%20020 https://epfl.zoom.u
 s/j/66615623208
STATUS:CONFIRMED
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