P Values and replication: the problem is not what you think

Add to your list(s) Download to your calendar using vCal

• Stephen Senn, Head of Competence Center for Methodology and Statistics (CCMS), Luxembourg Institute for Health
• Wednesday 16 December 2015, 12:30-13:30
• Lecture Theatre of the MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge..

If you have a question about this talk, please contact Deborah McSkimming.

Abstract It has been claimed that there is a crisis of replication in science. Prominent amongst the many factors that have been fingered 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 uncertainty from your measures. I shall claim that the apparent discrepancy between P-values and posterior probabilities is as much a discrepancy between two approaches to Bayesian inference as it is between frequentist and Bayesian frameworks and that a further problem has been misunderstandings regarding predictive probabilities. I conclude that banning P-values won’t make all published results repeatable and that it is possible undesirable that it should.

This talk is part of the CBU one-off Talks series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Biology
• CBU one-off Talks
• CamBridgeSens
• Cambridge talks
• Lecture Theatre of the MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge.
• Life Science Interface Seminars
• Life Sciences
• Life Sciences
• ME Seminar
• Trust & Technology Initiative - interesting events
• my_list
• other talks

Note that ex-directory lists are not shown.