A comparison of Bayesian and frequentist approaches to incorporating external information for the prediction of prostate cancer risk. [electronic resource]
Producer: 20130419Description: 71-83 p. digitalISSN:- 1098-2272
- Aged
- Algorithms
- Area Under Curve
- Bayes Theorem
- Calibration
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Logistic Models
- Male
- Middle Aged
- Models, Genetic
- Models, Statistical
- Polymorphism, Single Nucleotide
- Prostatic Neoplasms -- genetics
- ROC Curve
- Randomized Controlled Trials as Topic
- White People -- genetics
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Publication Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural
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