Evaluating diagnostics under dependency
Abstract/Contents
- Abstract
- Though estimation and inference procedures for the receiver operator characteristic ("ROC") curve are well studied in the cross-sectional setting, there is less research when both biomarker measurements and disease statuses are observed longitudinally. In a motivating example, we are interested in characterizing the value of longitudinally measured CD4 counts for predicting the presence or absence of a transient spike in HIV viral load, also time-dependent. The most common existing method neither appropriately characterizes the diagnostic value of observed CD4 counts nor efficiently uses status history in predicting current spike status. We propose parametric and nonparametric procedures to estimate the ROC in the longitudinal setting. Extensive simulations have been conducted to examine the small sample operational characteristics of the proposed methods.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Michael, Haben |
|---|---|
| Associated with | Stanford University, Department of Statistics. |
| Primary advisor | Tian, Lu |
| Thesis advisor | Tian, Lu |
| Thesis advisor | Holmes, Susan, 1954- |
| Thesis advisor | Siegmund, David, 1941- |
| Advisor | Holmes, Susan, 1954- |
| Advisor | Siegmund, David, 1941- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Haben Michael. |
|---|---|
| Note | Submitted to the Department of Statistics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Haben Michael
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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