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Mendeley readers
| Title |
An assessment of the relationship between clinical utility and predictive ability measures and the impact of mean risk in the population
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2014
|
| DOI | 10.1186/1471-2288-14-86 |
| Pubmed ID | |
| Authors |
Kevin McGeechan, Petra Macaskill, Les Irwig, Patrick MM Bossuyt |
| Abstract |
Measures of clinical utility (net benefit and event free life years) have been recommended in the assessment of a new predictor in a risk prediction model. However, it is not clear how they relate to the measures of predictive ability and reclassification, such as the c-statistic and Net Reclassification Improvement (NRI), or how these measures are affected by differences in mean risk between populations when a fixed cutpoint to define high risk is assumed. |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Student > Bachelor | 4 | 17% |
| Researcher | 3 | 13% |
| Professor > Associate Professor | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 50% |
| Engineering | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Computer Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 3 | 13% |