This work was partially supported by the National Institutes of Health (CA140262 and RC2 CA148463 to J.X.).
A Comparison of Bayesian and Frequentist Approaches to Incorporating External Information for the Prediction of Prostate Cancer Risk
Article first published online: 29 DEC 2011
© 2011 Wiley Periodicals, Inc.
Volume 36, Issue 1, pages 71–83, January 2012
How to Cite
Newcombe, P. J., Reck, B. H., Sun, J., Platek, G. T., Verzilli, C., Kader, A. K., Kim, S.-T., Hsu, F.-C., Zhang, Z., Zheng, S. L., Mooser, V. E., Condreay, L. D., Spraggs, C. F., Whittaker, J. C., Rittmaster, R. S. and Xu, J. (2012), A Comparison of Bayesian and Frequentist Approaches to Incorporating External Information for the Prediction of Prostate Cancer Risk. Genet. Epidemiol., 36: 71–83. doi: 10.1002/gepi.21600
- Issue published online: 29 DEC 2011
- Article first published online: 29 DEC 2011
- Manuscript Accepted: 28 OCT 2011
- Manuscript Revised: 12 OCT 2011
- Manuscript Received: 21 JUL 2011
- National Institutes of Health. Grant Numbers: CA140262, CA148463
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
Supplementary Table 1. Clinical, Demographic and Genetic Score of Genotyped White Subjects from the Placebo Arm, according to outcome
Supplementary Table 2. Results from External Meta-Analyses of Associations Between the 33 SNPs and PCa
Supplementary Table 3. Genetically Adjusted Associations Between Clinical Covariates and PCa
Supplementary Table 4. Associations Between GWAS SNPs and PCa in the REDUCE Subjects
Supplementary Table 5. Adjusted Associations Between GWAS SNPs and PCa in the REDUCE Subjects, Estimated from the Bayesian Model Under Reversible Jump Model Selection
Supplementary Table 6. Bayesian Sensitivity Analyses
Supplementary Table 7. Calibration Between Observed and Predicted Risk
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