Avoiding and identifying errors in health technology assessment models
Chilcott JB, Tappenden P, Rawdin A, Johnson M, Kaltenthaler E, Paisley S, Papaioannou D, Shippam A
Record ID 32007000891
English
Authors' recommendations:
Study found that a complex network of cognitive breakdowns lead to errors in models; interaction between modeller and client in developing mutual understanding of a model establishes that model's significance and its warranty so model validation should not be externalised from the decision-makers and the decision-making process.
Details
Project Status:
Completed
URL for project:
http://www.hta.ac.uk/1672
Year Published:
2010
English language abstract:
An English language summary is available
Publication Type:
Not Assigned
Country:
England, United Kingdom
MeSH Terms
- Humans
- Models, Econometric
- Quality Control
- Technology Assessment, Biomedical
Contact
Organisation Name:
NIHR Health Technology Assessment programme
Contact Address:
NIHR Journals Library, National Institute for Health and Care Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK
Contact Name:
journals.library@nihr.ac.uk
Contact Email:
journals.library@nihr.ac.uk
Copyright:
2010 Queen's Printer and Controller of HMSO
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.