Quantifying and comparing the accuracy of binary biomarkers when predicting a failure time outcome Journal Article
| Authors: | Moskowitz, C. S.; Pepe, M. S. |
| Article Title: | Quantifying and comparing the accuracy of binary biomarkers when predicting a failure time outcome |
| Abstract: | The positive and negative predictive values are standard measures used to quantify the predictive accuracy of binary biomarkers when the outcome being predicted is also binary. When the biomarkers are instead being used to predict a failure time outcome, there is no standard way of quantifying predictive accuracy. We propose a natural extension of the traditional predictive values to accommodate censored survival data. We discuss not only quantifying predictive accuracy using these extended predictive values, but also rigorously comparing the accuracy of two biomarkers in terms of their predictive values. Using a marginal regression framework, we describe how to estimate differences in predictive accuracy and how to test whether the observed difference is statistically significant. Copyright © 2004 John Wiley & Sons, Ltd. |
| Keywords: | cancer survival; treatment outcome; survival analysis; treatment failure; gene mutation; major clinical study; mutation; follow up; lymph nodes; sensitivity and specificity; biological marker; accuracy; biological markers; neoplasm recurrence, local; breast cancer; classification; models, biological; mastectomy; breast neoplasms; brca1 protein; brca2 protein; prediction; cancer mortality; time; standard; tumor suppressor gene; statistical significance; quantitative analysis; genes, brca1; genes, brca2; models, statistical; predictive value of tests; computer simulation; regression analysis; sensitivity; predictive accuracy; humans; prognosis; human; female; article; correlated data |
| Journal Title: | Statistics in Medicine |
| Volume: | 23 |
| Issue: | 10 |
| ISSN: | 0277-6715 |
| Publisher: | John Wiley & Sons |
| Date Published: | 2004-05-30 |
| Start Page: | 1555 |
| End Page: | 1570 |
| Language: | English |
| DOI: | 10.1002/sim.1747 |
| PROVIDER: | scopus |
| PUBMED: | 15122736 |
| DOI/URL: | |
| Notes: | Stat. Med. -- Cited By (since 1996):20 -- Export Date: 16 June 2014 -- CODEN: SMEDD -- Source: Scopus |
