Single-step simple ROC curve fitting via PCA.
A simple approach to fitting curves to receiver operating characteristic rating data is presented. It is based on the first principal component of the covariance space of the inverse normal integral of the cumulative rating data of the targets and distractors. It provides for 2 new associated d' estimates, dp' and dYNp'. A Monte Carlo simulation demonstrated that the parameter estimates are unbiased and produce estimates comparable to the iterative, maximum likelihood approach. The corresponding computational and plotting functions in the R programming language are also provided. (PsycINFO Database Record
University of Lethbridge.
John R
JR
Vokey
D000465:Algorithms; D006801:Humans; D016013:Likelihood Functions; D016011:Normal Distribution; D025341:Principal Component Analysis; D012372:ROC Curve