Accommodating covariates in receiver operating characteristic analysis

Stata Journal

Volumn 9, Issue 1, 2009, Pages 17-39

  Janes, Holly ^a   Longton, Gary ^a   Pepe, Margaret S ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

Author keywords

Comproc; Covariates; Receiver operating characteristic analysis; ROC.; Roccurve; Rocreg; Sensitivity; Specificity; St0155

Indexed keywords

EID: 68149167688     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x0900900102     Document Type: Article

References (16)

1. Alonzo, T. A., and M. S. Pepe. 2002. Distribution-free ROC analysis using binary regression techniques. Biostatistics 3: 421-432.
2. Baker, S. G. 2003. The central role of receiver operating characteristic (ROC) curves in evaluating tests for the early detection of cancer. Journal of the National Cancer Institute 95: 511-515.
3. Dodd, L. E., and M. S. Pepe. 2003. Partial AUC estimation and regression. Biometrics 59: 614-623.
4. Dorfman, D. D., and E. Alf Jr. 1969. Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals-Rating-method data. Journal of Mathematical Psychology 6: 487-496.
5. Heagerty, P. J., and M. S. Pepe. 1999. Semiparametric estimation of regression quantiles with application to standardizing weight for height and age in U.S. children. Applied Statistics 48: 533-551.
6. Janes, H., and M. S. Pepe. 2008. Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: An old concept in a new setting. American Journal of Epidemiology 168: 89-97.
7. -, Forthcoming. Adjusting for covariate effects on classification accuracy using the covariate-adjusted ROC curve. Biometrika.
8. Mcintosh, M. W., and M. S. Pepe. 2002. Combining several screening tests: Optimality of the risk score. Biometrics 58: 657-664.
9. Norton, E. C., H. Wang, and C. Ai. 2004. Computing interaction effects and standard errors in logit and probit models. State Journal 4: 154-167.
10. Ogilvie, J. C., and C. D. Creelman. 1968. Maximum-likelihood estimation of receiver operating characteristic curve parameters. Journal of Mathematical Psychology 5: 377-391.
11. Pepe, M. S. 2000. An interpretation for the ROC curve and inference using GLM procedures. Biometrics 56: 352-359.
12. Pepe, M. S., and T. Cai. 2004. The analysis of placement values for evaluating discriminatory measures. Biometrics 60: 528-535.
13. Pepe, M. S., R. Etzioni, Z. Feng, J. D. Potter, M. L. Thompson, M. Thornquist, M. Winget, and Y. Yasui. 2001. Phases of biomarker development for early detection of cancer. Journal of the National Cancer Institute 93: 1054-1061.
14. Pepe, M. S., and G. Longton. 2005. Standardizing diagnostic markers to evaluate and compare their performances. Epidemiology 16: 598-603.
15. Pepe, M. S., G. Longton, and H. Janes. 2009. Estimation and comparison of receiver operating characteristic curves. Stata Journal 9: 1-16.
16. Prentice, R., and R. Pyke. 1979. Logistic disease incidence models and case-control studies. Biometrika 66: 403-411.