Misalignment between research hypotheses and statistical hypotheses – A threat to evidence-based medicine?
Insa Lawler (Ruhr-Universität Bochum, University of North Carolina, Greensboro)

part of: Statistical Reasoning and Scientific Error
July 1, 2019, 9:00am - 9:30am
Munich Center for Mathematical Philosophy, LMU Munich

Schloss Nymphenburg
Schloß Nymphenburg 1
München 80638
Germany

Go to conference's page

Sponsor(s):

  • European Research Council
  • University of Turin

Organisers:

University of Turin
University of Sydney
University of Sydney
Ludwig Maximilians Universität, München
Eindhoven University of Technology
(unaffiliated)
University of Groningen
University of Groningen
University of Turin
University of Turin

Topic areas

Details

Statistical reasoning pervades experimental research, but how to apply it is a longstanding issue of debate in philosophy and science. Recent studies that reveal ahigh prevalence of errorandlack of reproducibilityin published research highlight the urgency of developing sound foundations of statistical reasoning, and finding techniques for detecting and correcting scientific error. So much the more as scientific error undermines the epistemic authority of science, and the degree to which policy-makers trust scientific experts.

The conference brings together an interdisciplinary group of researchers interested in issues of statistical reasoning and scientific error. It focuses on the foundations of statistical inference, how statistical reasoning is applied in the sciences, how statistical inference can correct scientific error and which proposals for reforming scientific method (including restructuring the peer review and publication system) can increase the reliability of published research.

The conference is a joint event of the Munich-Sydney-Turin conference series in philosophy of science and the workshop series “Perspectives on Scientific Error”.

Statistical reasoning pervades experimental research, but how to apply it is a longstanding issue of debate in philosophy and science. Recent studies that reveal ahigh prevalence of errorandlack of reproducibilityin published research highlight the urgency of developing sound foundations of statistical reasoning, and finding techniques for detecting and correcting scientific error. So much the more as scientific error undermines the epistemic authority of science, and the degree to which policy-makers trust scientific experts.

The conference brings together an interdisciplinary group of researchers interested in issues of statistical reasoning and scientific error. It focuses on the foundations of statistical inference, how statistical reasoning is applied in the sciences, how statistical inference can correct scientific error and which proposals for reforming scientific method (including restructuring the peer review and publication system) can increase the reliability of published research.

The conference is a joint event of the Munich-Sydney-Turin conference series in philosophy of science and the workshop series “Perspectives on Scientific Error”. Previous editions of these workshops can be consultedhere(PSE1, Tilburg 2017) andhere(PSE2, Groningen 2018).

Supporting material

Add supporting material (slides, programs, etc.)

Reminders

Registration

No

Who is attending?

No one has said they will attend yet.

Will you attend this event?


Let us know so we can notify you of any change of plan.