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X Demographics
Mendeley readers
| Title |
Dealing with heterogeneity of treatment effects: is the literature up to the challenge?
|
|---|---|
| Published in |
Trials, June 2009
|
| DOI | 10.1186/1745-6215-10-43 |
| Pubmed ID | |
| Authors |
Nicole B Gabler, Naihua Duan, Diana Liao, Joann G Elmore, Theodore G Ganiats, Richard L Kravitz |
| Abstract |
Some patients will experience more or less benefit from treatment than the averages reported from clinical trials; such variation in therapeutic outcome is termed heterogeneity of treatment effects (HTE). Identifying HTE is necessary to individualize treatment. The degree to which heterogeneity is sought and analyzed correctly in the general medical literature is unknown. We undertook this literature sample to track the use of HTE analyses over time, examine the appropriateness of the statistical methods used, and explore the predictors of such analyses. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| Mexico | 1 | 25% |
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| United Kingdom | 3 | 3% |
| France | 1 | 1% |
| Unknown | 85 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 20% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Master | 11 | 12% |
| Other | 9 | 9% |
| Professor | 7 | 7% |
| Other | 22 | 23% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 36% |
| Social Sciences | 7 | 7% |
| Computer Science | 6 | 6% |
| Economics, Econometrics and Finance | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Other | 20 | 21% |
| Unknown | 19 | 20% |