Research type:
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HTA Technology Assessment Report |
Title (lead author) etc:
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Avoiding and identifying errors in health technology assessment models (Chilcott) 135 pages, Volume 14, number 25 |
DOI
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10.3310/hta14250 |
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Headline: |
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. |
This report should be referenced as follows: |
Chilcott J, Tappenden P, Rawdin A, Johnson M, Kaltenthaler E, et al. Avoiding and identifying errors in health technology assessment models. Health Technol Assess
2010;14(25).
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Project ref: |
07/54/01 |
Original project title: |
Avoiding and identifying errors in health technology assessment models |
Chief Investigator: |
School of Health and Related Research (ScHARR-TAG), University of Sheffield
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Start Date: |
June 2007 |
Date of publication in HTA journal series |
May 2010
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Cost: |
This project was commissioned by the HTA programme on a call-off contract basis. |
NRR* number, if applicable: |
N0484196336 (*National Research Register) The National Research Register was a public database of ongoing and recently completed research projects funded by, or of interest to, the United Kingdom's National Health Service (NHS). It is now an archive of projects from early 2000 to September 2007. Search the NRR archive. |
Project Protocol: |
Project protocol not available
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Printed copies of this title despatched:
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95 (Figures relate to the previous calendar month) |
URL of this page: |
http://www.hta.ac.uk/1672 |
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