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SUMMARY:P Values and replication: the problem is not what you think - Step
 hen Senn\, Head of Competence Center for Methodology and Statistics (CCMS)
 \, Luxembourg Institute for Health
DTSTART:20151216T123000Z
DTEND:20151216T133000Z
UID:TALK62244@talks.cam.ac.uk
CONTACT:Deborah McSkimming
DESCRIPTION:Abstract\nIt has been claimed that there is a crisis of replic
 ation in science. Prominent amongst the many factors that have been finger
 ed as being responsible is the humble and ubiquitous P-value. One journal 
 has even gone so far as to ban all inferential statistics. However\, it is
  one thing to banish measures of uncertainty and another to banish uncerta
 inty from your measures.  I shall claim that the apparent discrepancy betw
 een P-values and posterior probabilities is as much a  discrepancy between
  two approaches to Bayesian inference as it is between frequentist and Bay
 esian frameworks and that a further problem has been misunderstandings reg
 arding predictive probabilities. I conclude that banning P-values won’t 
 make all published results repeatable and that it is possible undesirable 
 that it should.\n
LOCATION:Lecture Theatre of the MRC Cognition and Brain Sciences Unit\, 15
  Chaucer Road\, Cambridge.
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