Ankerst, Donna P. and Koniarski, Tim and Liang, Yuanyuan and Leach, Robin J. and Feng, Ziding and Sanda, Martin G. and Partin, Alan W. and Chan, Daniel W. and Kagan, Jacob and Sokoll, Lori and Wei, John T. and Thompson, Ian M. (2012) Updating risk prediction tools: A case study in prostate cancer. BIOMETRICAL JOURNAL, 54 (1). pp. 127-142. ISSN 0323-3847, 1521-4036
Full text not available from this repository. (Request a copy)Abstract
Online risk prediction tools for common cancers are now easily accessible and widely used by patients and doctors for informed decision-making concerning screening and diagnosis. A practical problem is as cancer research moves forward and new biomarkers and risk factors are discovered, there is a need to update the risk algorithms to include them. Typically, the new markers and risk factors cannot be retrospectively measured on the same study participants used to develop the original prediction tool, necessitating the merging of a separate study of different participants, which may be much smaller in sample size and of a different design. Validation of the updated tool on a third independent data set is warranted before the updated tool can go online. This article reports on the application of Bayes rule for updating risk prediction tools to include a set of biomarkers measured in an external study to the original study used to develop the risk prediction tool. The procedure is illustrated in the context of updating the online Prostate Cancer Prevention Trial Risk Calculator to incorporate the new markers %freePSA and [-2]proPSA measured on an external casecontrol study performed in Texas, U.S.. Recent state-of-the art methods in validation of risk prediction tools and evaluation of the improvement of updated to original tools are implemented using an external validation set provided by the U.S. Early Detection Research Network.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | DECISION CURVE ANALYSIS; OPERATING CHARACTERISTICS; PREVENTION TRIAL; BREAST-CANCER; ROC CURVE; MODELS; MARKER; RECLASSIFICATION; STATISTICS; CALCULATOR; Calibration; Discrimination; Net benefit; Prostate cancer prevention trial; Risk prediction; Validation |
| Subjects: | 300 Social sciences > 330 Economics 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Business, Economics and Information Systems > Institut für Immobilienenwirtschaft / IRE|BS |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 25 May 2020 09:11 |
| Last Modified: | 25 May 2020 09:11 |
| URI: | https://pred.uni-regensburg.de/id/eprint/19574 |
Actions (login required)
 |
View Item |
