| Title | Discussion of combining biomarkers to optimize patient treatment recommendations. |
| Publication Type | Journal Article |
| Year of Publication | 2014 |
| Authors | Zhao, Ying-Qi, and Michael R. Kosorok |
| Journal | Biometrics |
| Volume | 70 |
| Issue | 3 |
| Pagination | 713-6 |
| Date Published | 2014 Sep |
| ISSN | 1541-0420 |
| Keywords | Biomarkers, Tumor, Biometry, Breast Neoplasms, Data Interpretation, Statistical, Female, Humans, Male, Outcome Assessment, Health Care |
| Abstract | Kang, Janes and Huang propose an interesting boosting method to combine biomarkers for treatment selection. The method requires modeling the treatment effects using markers. We discuss an alternative method, outcome weighted learning. This method sidesteps the need for modeling the outcomes, and thus can be more robust to model misspecification. |
| DOI | 10.1111/biom.12189 |
| Alternate Journal | Biometrics |
| Original Publication | Discussion of combining biomarkers to optimize patient treatment recommendations. |
| PubMed ID | 24889265 |
| PubMed Central ID | PMC4248021 |
| Grant List | P01 CA142538 / CA / NCI NIH HHS / United States |
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