Journal article
Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes
- Abstract:
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In the medical literature, hundreds of prediction models are being developed to predict health outcomes in individuals. For continuous outcomes, typically a linear regression model is developed to predict an individual's outcome value conditional on values of multiple predictors (covariates). To improve model development and reduce the potential for overfitting, a suitable sample size is required in terms of the number of subjects (n) relative to the number of predictor parameters (p) for pot...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- Wiley
- Journal:
- Statistics in Medicine More from this journal
- Publication date:
- 2018-10-22
- Acceptance date:
- 2018-09-13
- DOI:
- EISSN:
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1097-0258
- ISSN:
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0277-6715
Item Description
- Language:
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English
- Keywords:
- Pubs id:
-
pubs:935170
- UUID:
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uuid:3fbc1e5c-b5fe-4123-82b8-8490127cd276
- Local pid:
-
pubs:935170
- Source identifiers:
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935170
- Deposit date:
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2018-10-30
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- Copyright date:
- 2018
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