Borrowing information across populations in estimating positive and negative predictive values

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 60, Issue 5, 2011, Pages 633-653

  Huang, Ying ^a   Fong, Youyi ^a   Wei, John ^b   Feng, Ziding ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Biomarker; Classification; Negative predictive value; Positive predictive value; Sensitivity; Specificity

Indexed keywords

EID: 80053386712     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/j.1467-9876.2011.00761.x     Document Type: Article

References (13)

1. Deras, I. L., Aubin, S. M. J., Blase, A., Day, J. R., Koo, S., Partin, A. W., Ellis, W. J., Marks, L. S., Fradet, Y., Rittenhouse, H. and Groskopf, J. (2006) PCA3: a molecular urine assay for predicting prostate biopsy outcome. J. Urol., 179, 1587-1592.
2. Friedman, M. (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J. Am. Statist.Ass., 32, 675-701.
3. Janes, H. and Pepe, M. S. (2010a) Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: an old concept in a new setting. Am. J. Epidem., 96, 371-382.
4. Janes, H. and Pepe, M. S. (2010b) Adjusting for covariate effects on classification accuracy using the covariate-adjusted ROC curve. Biometrika, to be published.
5. Leisenring, W., Alonzo, T. A. and Pepe, M. S. (2000) Comparisons of predictive values of binary medical diagnostic tests for paired designs. Biometrics, 56, 345-351.
6. Mantel, N. and Haenszel, W. (1959) Statistical aspects of the analysis of data from retrospective studies of disease. J. Natn. Cancer Inst., 22, 719-748.
7. Moskowitz, C. S. and Pepe, M. S. (2004) Quantifying and comparing the predictive accuracy of continuous prognostic factors for binary outcomes. Biostatistics, 5, 113-127.
8. Moskowitz, C. S. and Pepe, M. S. (2006) Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs. Clin. Trials, 3, 272-279.
9. Pepe, M. S. (2003) The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford: Oxford University Press.
10. Pepe, M. S. and Cai, T. (2004) The analysis of placement values for evaluating discriminatory measures. Biometrics, 60, 528-535.
11. Pepe, M. S., Etzioni, R., Feng, Z., Potter, J. D., Thompson, M. L., Thornquist, M., Winget, M. and Yasui, Y. (2001) Phases of biomarker development for early detection of cancer. J. Natn. Cancer Inst., 93, 1054-1061.
12. Quade, D. (1979) Using weighted rankings in the analysis of complete blocks with additive block effects. J. Am. Statist. Ass., 74, 680-683.
13. Steinberg, D. M., Fine, J. and Chappell, R. (2008) Sample size for positive and negative predictive value in diagnostic research. Biostatistics, 10, 94-105.