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Mendeley readers
| Title |
Empirical evaluation of prediction intervals for cancer incidence
|
|---|---|
| Published in |
BMC Medical Research Methodology, June 2005
|
| DOI | 10.1186/1471-2288-5-21 |
| Pubmed ID | |
| Authors |
Bjørn Møller, Harald Weedon-Fekjær, Tor Haldorsen |
| Abstract |
Prediction intervals can be calculated for predicting cancer incidence on the basis of a statistical model. These intervals include the uncertainty of the parameter estimates and variations in future rates but do not include the uncertainty of assumptions, such as continuation of current trends. In this study we evaluated whether prediction intervals are useful in practice. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| France | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 63 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 27% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Doctoral Student | 8 | 12% |
| Other | 7 | 11% |
| Student > Master | 5 | 8% |
| Other | 14 | 21% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 35% |
| Social Sciences | 6 | 9% |
| Mathematics | 6 | 9% |
| Computer Science | 4 | 6% |
| Agricultural and Biological Sciences | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 11 | 17% |