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X Demographics
Mendeley readers
| Title |
A Bayesian prediction model between a biomarker and the clinical endpoint for dichotomous variables
|
|---|---|
| Published in |
Trials, December 2014
|
| DOI | 10.1186/1745-6215-15-500 |
| Pubmed ID | |
| Authors |
Zhiwei Jiang, Yang Song, Qiong Shou, Jielai Xia, William Wang |
| Abstract |
Early biomarkers are helpful for predicting clinical endpoints and for evaluating efficacy in clinical trials even if the biomarker cannot replace clinical outcome as a surrogate. The building and evaluation of an association model between biomarkers and clinical outcomes are two equally important concerns regarding the prediction of clinical outcome. This paper is to address both issues in a Bayesian framework. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Researcher | 4 | 24% |
| Student > Bachelor | 3 | 18% |
| Unspecified | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 24% |
| Mathematics | 2 | 12% |
| Nursing and Health Professions | 2 | 12% |
| Agricultural and Biological Sciences | 2 | 12% |
| Unspecified | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 4 | 24% |