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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...

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Publication status:
Published

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Publisher copy:
10.1038/sj.bjc.6601907

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
Journal:
British journal of cancer
Volume:
91
Issue:
1
Pages:
4-8
Publication date:
2004-07-01
DOI:
EISSN:
1532-1827
ISSN:
0007-0920
Source identifiers:
317898
Language:
English
Keywords:
Pubs id:
pubs:317898
UUID:
uuid:aff03e30-8639-4516-bbd3-d6e0195f4364
Local pid:
pubs:317898
Deposit date:
2013-11-16

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