Binary classification using multivariate receiver operating characteristic curve for continuous data.
J Biopharm Stat
; 26(3): 421-31, 2016.
Article
in En
| MEDLINE
| ID: mdl-26010331
ABSTRACT
The classification scenario needs handling of more than one biomarker. The main objective of the work is to propose a multivariate receiver operating characteristic (MROC) model which linearly combines the markers to classify them into one of the two groups and also to determine an optimal cut point. Simulation studies are conducted for four sets of mean vectors and covariance matrices and a real dataset is also used to demonstrate the proposed model. Linear and quadratic discriminant analysis has also been applied to the above datasets in order to explain the ease of the proposed model. Bootstrapped estimates of the parameters of the ROC curve are also estimated.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Biomarkers
/
ROC Curve
Type of study:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
J Biopharm Stat
Journal subject:
FARMACOLOGIA
Year:
2016
Document type:
Article
Affiliation country:
India