Journal article icon

Journal article

Using “Big Data” in the cost-effectiveness analysis of next-generation sequencing technologies: Challenges and potential solutions

Abstract:

Next-generation sequencing (NGS) is considered to be a prominent example of “big data” because of the quantity and complexity of data it produces and because it presents an opportunity to use powerful information sources that could reduce clinical and health economic uncertainty at a patient level. One obstacle to translating NGS into routine health care has been a lack of clinical trials evaluating NGS technologies, which could be used to populate cost-effectiveness analyses (CEAs). A key qu...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Publisher copy:
10.1016/j.jval.2018.06.016

Authors


More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Dept of Population Health
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Dept of Population Health
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Dept of Population Health
Subgroup:
Population Health
Oxford college:
Oriel College
ORCID:
0000-0003-2528-0638
Marshall, DA More by this author
Expand authors...
National Institute for Health Research More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Value in Health Journal website
Volume:
21
Issue:
9
Pages:
1048-1053
Publication date:
2018-08-17
Acceptance date:
2018-06-14
DOI:
EISSN:
1524-4733
ISSN:
1098-3015
Pubs id:
pubs:910636
URN:
uri:a40a0f36-d13d-46df-a394-76ac28fa820e
UUID:
uuid:a40a0f36-d13d-46df-a394-76ac28fa820e
Local pid:
pubs:910636

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP