Reducing IrreProducibility in labOratory STudiEs: the RIPOSTE framework for improving the design and analysis of laboratory based research
The NIHR Laboratory Statistics Group is seeking laboratory scientists to be part of a consortium to test and refine a framework to reduce irreproducibility in laboratory studies. In particular we would welcome those with a relevant example study to share on the day (no examples involving animal experiments can be included).
What do we mean by 'laboratory study'?
1. Studies in which any aspect of the procedure or analysis is carried out in the laboratory
2. May be in vivo (e.g. imaging), ex vivo (e.g. genomics) or in vitro (e.g. cell culture)
3. Includes both experimental and observational data
4. May involve hypothesis generation or hypothesis testing/ confirmation
5. May be small or large scale (e.g. genome-wide association studies)
We do not intend our recommendations will extend to exploratory research.
Involvement will include attending a one day meeting in Leicester on Monday 10 February 2014 where scientists will work together with statisticians to test and refine the framework.
Register your interest
We are therefore seeking expressions of interest from laboratory scientists or researchers with experience in laboratory research to be part of this initiative.
Please register your interest at http://riposte.eventbrite.co.uk by 15 January, 2014.
Respondents will be contacted by 17 January with further details.
Please can I ask you to forward this e-mail to relevant collagues who may be interested.
Research Collaboration Manager
NIHR Office for Clinical Research Infrastructure (NOCRI)
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