A comparison of Bayesian and frequentist approaches to incorporating external information for the prediction of prostate cancer risk.
Newcombe, Paul J
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
Publication Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural
1098-2272
10.1002/gepi.21600 doi
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
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
Publication Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural
1098-2272
10.1002/gepi.21600 doi
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