Determining relative importance of variables in developing and validating predictive models
<p>Abstract</p> <p>Background</p> <p>Multiple regression models are used in a wide range of scientific disciplines and automated model selection procedures are frequently used to identify independent predictors. However, determination of relative importance of potential...
Main Authors: | Atenafu Eshetu G, Beyene Joseph, Hamid Jemila S, To Teresa, Sung Lillian |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2009-09-01
|
Series: | BMC Medical Research Methodology |
Online Access: | http://www.biomedcentral.com/1471-2288/9/64 |
Similar Items
-
Potential risk factors associated with human encephalitis: application of canonical correlation analysis
by: Crowcroft Natasha S, et al.
Published: (2011-08-01) -
Some important deficiencies in the development, validation, and reporting of a prediction model
by: Cook, J, et al.
Published: (2015) -
Is native E coli- or Peg-ASP more thrombogenic in adult ALL? A systematic review and meta-analysis
by: Jack T. Seki, et al.
Published: (2023-08-01) -
Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods
by: Eskezeia Y. Dessie, et al.
Published: (2023-07-01) -
On the Importance of Intraindividual Variability in Cognitive Development
by: Anik de Ribaupierre, et al.
Published: (2018-03-01)