Accommodating covariates in receiver operating characteristic analysis dating buzz co za find loggedin

Adjusting receiver operating characteristic curves and related indices for covariates.

Covariate adjustment in the analysis of microarray data from clinical studies.

A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis.

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In addition, if the correlation between the covariate and biomarker is high in disease group and if AUC is approximately 0.75, then there is significant difference between adjusted AUC and AUC. 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 for covariates in studies of diagnostic, screening, or prognostic markers: an old concept in a new setting. Three approaches to regression analysis of receiver operating characteristic curves for continuous test results.

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