|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 116 of 129 found articles
| Title: |
Semiparametric and parametric transformation models for comparing diagnostic markers with paired design |
| Author: |
Zou, Kelly H. Hall, W. J. |
| Appeared in: |
Journal of applied statistics |
| Paging: | Volume 29 (2002) nr. 6 pages 803-816 |
| Year: |
2002-08-01 |
| Contents: |
We develop semiparametric and parametric transformation models for estimation and comparison of ROC curves derived from measurements from two diagnostic tests on the same subjects. We assume the existence of transformed measurement scales, one for each test, on which the paired measurements have bivariate normal distributions. The resulting pair of ROC curves are estimated by maximum likelihood algorithms, using joint rank data in the semiparametric model with unspecified transformations and using Box-Cox transformations in the parametric transformation case. Several hypothesis tests for comparing the two ROC curves, or characteristics of them, are developed. Two clinical examples are presented and simulation results are provided. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 116 of 129 found articles
| << previous | next >> |