Accommodating covariates in roc analysis definition
Other covariates may affect the inherent discriminatory accuracy of the marker i. This paper is a companion to another article in this journal Pepe et al.
For factors that affect marker observations among controls, we present a method for covariate adjustment. We describe three different ways of using covariate information. Finally, there are covariates which contribute to discrimination. The associated Stata program is called rocreg. The associated Stata programs are called roccurve and comproc.
For example, baseline risk factors for disease provide some ability to discriminate between cases and controls. We describe three different ways of using covariate informa- tion.
For example, disease severity often impacts marker accuracy, with less severe cases being more difficult to distinguish from controls. First, there are covariates which impact the marker distribution among controls. This allows to link your profile to this item. If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. For factors that affect discrimination i.
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