Journal article
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 ...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Version of record, pdf, 1.5MB)
-
- Publisher copy:
- 10.1016/j.jclinepi.2016.02.031
Authors
Funding
+ Medical Research Council
More from this funder
Funding agency for:
Ogundimu, E
Grant:
PROGnosis RESearch Strategy (PROGRESS) group (G0902393
Bibliographic Details
- 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
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:610880
- UUID:
-
uuid:8da45333-9351-451c-91f5-7259c2a83ac7
- Local pid:
- pubs:610880
- Deposit date:
- 2016-03-19
Terms of use
- Copyright holder:
- Ogundimu et al
- Copyright date:
- 2016
- Notes:
- Copyright 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record