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Adequate sample size for developing prediction models was not simply related to events per variable.

Abstract:

The choice of an adequate sample size for a Cox regression analysis is generally based on the rule of thumb derived from simulation studies (Peduzzi et al. (1995)) of a minimum of 10 events per variable (EPV). One simulation study suggested scenarios in which the 10 EPV rule can be relaxed (Vittinghoff and McCulloch (2007)). The effect of a range of binary predictors with varying prevalence, reflecting clinical practice, has not yet been fully investigated.We conducted an extended resampling ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jclinepi.2016.02.031

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
More from this funder
Funding agency for:
Ogundimu, E
Grant:
PROGnosis RESearch Strategy (PROGRESS) group (G0902393
More from this funder
Funding agency for:
Altman, D
Grant:
G1100513
More from this funder
Funding agency for:
Collins, G
Grant:
G1100513
Publisher:
Elsevier Publisher's website
Journal:
Journal of clinical epidemiology Journal website
Publication date:
2016-01-01
Acceptance date:
2016-02-29
DOI:
EISSN:
1878-5921
ISSN:
0895-4356
Source identifiers:
610880
Language:
English
Keywords:
Pubs id:
pubs:610880
UUID:
uuid:8da45333-9351-451c-91f5-7259c2a83ac7
Local pid:
pubs:610880
Deposit date:
2016-03-19

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