Accommodating covariates in roc analysis best dating sites scoottir07


04-Feb-2020 01:18

In certain situations, the presence of related covariate, continuous or categorical, to the diagnostic variable can increase the discriminating power of the ROC curve [] on CRIB scale, using results of an intensive care unit of a Portuguese hospital.In the present work, we propose to analyze the discriminative power of CRIB scale, using ROC regression analysis with GLM (Generalized Linear Models), in the classification of babies with and without the presence of covariates (newborn gender and mothers age).Classification accuracy is the ability of a marker or diagnostic test to discriminate between two groups of individuals, cases and controls, and is commonly summarized using the receiver operating characteristic (ROC) curve.In studies of classification accuracy, there are often covariates that should be incorporated into the ROC analysis.Statistical evaluation of medical imaging tests used for diagnostic and prognostic purposes often employs receiver operating characteristic (ROC) curves.

The Statistical Evaluation of Medical Tests for Classification and Prediction.article=st0155 (text/html) Related works: This item may be available elsewhere in Econ Papers: Search for items with the same title.

Export reference: Persistent link: https://Econ Papers.repec.org/Re PEc:tsj:stataj:v:9:y:2009:i:1:p:17-39 Ordering information: This journal article can be ordered from Statistics for this article Stata Journal is currently edited by H.

Adjusting the generalized ROC curve for covariates.

This paper applies receiver operating characteristic (ROC) analysis to micro-level, monthly time series from the M3-Competition.

Forecasts from competing methods were used in binary decision rules to forecast exceptionally large declines in demand.

Export reference: Persistent link: https://Econ Papers.repec.org/Re PEc:tsj:stataj:v:9:y:2009:i:1:p:17-39 Ordering information: This journal article can be ordered from Statistics for this article Stata Journal is currently edited by H.