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Mendeley readers
| Title |
Added predictive value of omics data: specific issues related to validation illustrated by two case studies
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2014
|
| DOI | 10.1186/1471-2288-14-117 |
| Pubmed ID | |
| Authors |
Riccardo De Bin, Tobias Herold, Anne-Laure Boulesteix |
| Abstract |
In the last years, the importance of independent validation of the prediction ability of a new gene signature has been largely recognized. Recently, with the development of gene signatures which integrate rather than replace the clinical predictors in the prediction rule, the focus has been moved to the validation of the added predictive value of a gene signature, i.e. to the verification that the inclusion of the new gene signature in a prediction model is able to improve its prediction ability. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 23 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 37% |
| Student > Bachelor | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Master | 2 | 7% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 22% |
| Computer Science | 5 | 19% |
| Agricultural and Biological Sciences | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Mathematics | 3 | 11% |
| Other | 1 | 4% |
| Unknown | 4 | 15% |