Newcombe, Paul J <br/><br/>
A comparison of Bayesian and frequentist approaches to incorporating external information for the prediction of prostate cancer risk.  [electronic resource] 

 -  Genetic epidemiology  Jan 2012 
 - 71-83 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural 
<br/><br/><label>ISSN: </label>1098-2272 
<br/><br/><label>Standard No.: </label>10.1002/gepi.21600  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Algorithms<br/>Area Under Curve<br/>Bayes Theorem<br/>Calibration<br/>Genetic Predisposition to Disease<br/>Genome-Wide Association Study<br/>Humans<br/>Logistic Models<br/>Male<br/>Middle Aged<br/>Models, Genetic<br/>Models, Statistical<br/>Polymorphism, Single Nucleotide<br/>Prostatic Neoplasms--genetics<br/>ROC Curve<br/>Randomized Controlled Trials as Topic<br/>White People--genetics