Semiparametric Estimation of the Covariate-Specific ROC Curve in Presence of Ignorable Verification Bias

Biometrics

Volumn 67, Issue 3, 2011, Pages 906-916

  Liu, Danping ^a   Zhou, Xiao Hua ^a,b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

Author keywords

Alzheimer's disease; Covariate specific ROC curve; Ignorable missingness; Verification bias; Weighted estimating equations

Indexed keywords

DIAGNOSIS; INVERSE PROBLEMS;

ALZHEIMERS DISEASE; COVARIATE-SPECIFIC RECEIVER OPERATING CHARACTERISTIC CURVE; COVARIATES; ESTIMATING EQUATIONS; GOLD STANDARDS; IGNORABLE MISSINGNESS; RECEIVER OPERATING CHARACTERISTIC CURVES; SEMI PARAMETRIC ESTIMATION; VERIFICATION BIAS; WEIGHTED ESTIMATING EQUATION;

NEURODEGENERATIVE DISEASES;

ACCURACY ASSESSMENT; BIOMARKER; DISEASE PREVALENCE; ERROR ANALYSIS; ESTIMATION METHOD; NUMERICAL MODEL;

EID: 80052801115     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2011.01562.x     Document Type: Article

References (21)

1. Alonzo, T. A. and Pepe, M. S. (2005). Assessing accuracy of a continuous screening test in the presence of verification bias. Journal of the Royal Statistical Society-Series C (Applied Statistics) 54, 173-190.
2. Begg, C. B. and Greenes, R. A. (1983). Assessment of diagnostic tests when disease verification is subject to verification bias. Biometrics 39, 207-215.
3. Cai, T. and Pepe, M. S. (2002). Semiparametric receiver operating characteristic analysis to evaluate biomarkers for disease. Journal of the American Statistical Association 97, 1099-1107.
4. Fluss, R., Reiser, B., Faraggi, D., and Rotnitzky, A. (2009). Estimation of the ROC curve under verification bias. Biometrical Journal 51, 475-490.
5. Gary, R., Begg, C. B., and Greenes, R. A. (1983). Construction of receiver operating characteristic curves when disease verification is subject to selection bias. Medical Decision Making 4, 151-164.
6. Isella, V., Villa, L., Russo, A., Regazzoni, R., Ferrarese, C., and Appollonio, I. M. (2006). Discriminative and predictive power of an informant report in mild cognitive impairment. Journal of Neurology, Neurosurgery and Psychiatry 77, 166-171.
7. Kim, K. W., Lee, D. Y., Jhoo, J. H., Youn, J. C., Suh, Y. J., Jun, Y. H., Seo, E. H., and Woo, J. I. (2005). Diagnostic accuracy of mini-mental status examination and revised hasegawa dementia scale for Alzheimer's disease. Dementia and Geriatric Cognitive Disorders 19, 324-330.
8. Lipsitz, S. R., Ibrahim, J. G., and Zhao, L. P. (1999). A weighted estimating equation for missing covariate data with properties similar to maximum likelihood. Journal of the American Statistical Association 94, 1147-1160.
9. Liu, D. and Zhou, X. H. (2010). A model for adjusting for nonignorable verification bias in estimation of ROC curve and its area with likelihood-based approach. Biometrics 66, 1119-1128.
10. McDowell, I., Kristjanssona, B., Hilla, G. B., and Hebertb, R. (1997). Community screening for dementia: The Mini Mental State Exam (MMSE) and modified Mini-Mental State Exam (3MS) compared. Journal of Clinical Epidemiology 50, 377-383.
11. Nadaraya, E. A. (1964). Some new estimates for distribution functions. Theory of Probability and its Applications 9, 497-500.
12. Page, J. H. and Rotnitzky, A. (2009). Estimation of the disease-specific diagnostic marker distribution under verification bias. Computational Statistics and Data Analysis 53, 707-717.
13. Pepe, M. S. (1998). Three approaches to regression analysis of receiver operating characteristic curves for continuous test results. Biometrics 54, 124-135.
14. Pepe, M. S. (2003). Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford, U.K.: Oxford University Press.
15. Punglia, R. S., D'Amico, A. V., Catalona, W. J., Roehl, K. A., and Kuntz, K. M. (2003). Effect of verification bias on screening for prostate cancer by measurement of prostate-specific antigen. New England Journal of Medicine 349, 335-342.
16. Rodenberg, C. A. and Zhou, X. H. (2000). ROC curve estimation when covariates affect the verification process. Biometrics 56, 1256-1262.
17. Rotnitzky, A., Faraggi, D., and Schisterman, E. (2006). Doubly robust estimation of the area under the receiver-operating characteristic curve in the presence of verification bias. Journal of the American Statistical Association 101, 1276-1288.
18. Zheng, Y., Barlow, W. E., and Cutter, G. (2005). Assessing accuracy of mannography in the presence of verification bias and intrareader correlation. Biometrics 61, 259-268.
19. Zhou, X. H. (1996). A nonparametric ML estimate of an ROC curve area corrected for verification bias. Biometrics 52, 310-316.
20. Zhou, X. H. (1998). Comparing correlated areas under the ROC curves of two diagnostic tests in the presence of verification bias. Biometrics 54, 453-470.
21. Zhou, X. H., Obuchowski, N. A., and McClish, D. K. (2002). Statistical Methods in Diagnostic Medicine. New York: Wiley.