Abstract
An important aspect of modern cancer research is identifying molecular and genetic markers that predict an individual's risk of recurrence and response to treatment. Increasingly, a large number of biomarkers are included in studies, even though at most a small proportion of them will be prognostic. This article considers the selection and validation of prognostic biomarkers, and proposes a method for building and validating a prognostic index based on potentially many markers. We use simulation to show that our proposed method controls false-positive rate while retaining reasonable power. The prognostic index gets its power from combining prognostic biomarkers. It can be very powerful even when there are few markers that are predictive.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 97-101 |
| Number of pages | 5 |
| Journal | Cancer Biomarkers |
| Volume | 2 |
| Issue number | 3-4 |
| DOIs | |
| State | Published - 2006 |
Keywords
- Biomarkers
- data splitting
- false-positive rate
- prognostic index
- prognostic power
ASJC Scopus subject areas
- Genetics
- Oncology
- Cancer Research