Journal article icon

Journal article

Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelines.

Abstract:

Prognostic models play a crucial role in the clinical decision-making process. Unfortunately, missing covariate data impede the construction of valid and reliable models, potentially introducing bias, if handled inappropriately. The extent of missing covariate data within reported cancer prognostic studies, the current handling and the quality of reporting this missing covariate data are unknown. Therefore, a review was conducted of 100 articles reporting multivariate survival analyses to ass...

Expand abstract
Publication status:
Published

Actions


Access Document


Publisher copy:
10.1038/sj.bjc.6601907

Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, NDORMS, CSM
Role:
Author
Journal:
British journal of cancer
Volume:
91
Issue:
1
Pages:
4-8
Publication date:
2004-07-05
DOI:
EISSN:
1532-1827
ISSN:
0007-0920
URN:
uuid:aff03e30-8639-4516-bbd3-d6e0195f4364
Source identifiers:
317898
Local pid:
pubs:317898

Terms of use


Metrics


Views and Downloads






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

TO TOP