BACKGROUND: ROC analysis is widely accepted to assess and compare diagnostic validity of laboratory tests. Within the last few years, many new ROC programs have become available but have not been systematically evaluated. The aim of this study was to assess different ROC programs regarding their ease of use, mathematical correctness, final output, and their compatibility with other graphics programs. METHODS: Eight available programs running under Windows (AccuROC, Analyse-It, CMDT, GraphROC, MedCalc, mROC, ROCKIT, and SPSS) were evaluated. ROC analyses of prostate-specific antigen and related values were performed from a dataset of 928 men with prostate cancer and benign prostatic hyperplasia and corresponding subsets. Criteria such as data input, data output, and correctness and completeness of results were used to evaluate the practicability of the programs. RESULTS: Although the programs produced equivalent results (areas under the curves and their characteristics), we observed deficiencies concerning input of data, processing of the output data, and completeness of the results. Analyse-It, AccuROC, and MedCalc exhibited good performance, but each program had different shortcomings. Only GraphROC could compare curves at a certain sensitivity or specificity cutoff. CONCLUSIONS: Adequate ROC analysis and ROC plotting cannot be performed with a single program. Analyse-It, AccuROC, and MedCalc can be recommended with certain limitations. Further improvements of the programs are necessary.
BACKGROUND: ROC analysis is widely accepted to assess and compare diagnostic validity of laboratory tests. Within the last few years, many new ROC programs have become available but have not been systematically evaluated. The aim of this study was to assess different ROC programs regarding their ease of use, mathematical correctness, final output, and their compatibility with other graphics programs. METHODS: Eight available programs running under Windows (AccuROC, Analyse-It, CMDT, GraphROC, MedCalc, mROC, ROCKIT, and SPSS) were evaluated. ROC analyses of prostate-specific antigen and related values were performed from a dataset of 928 men with prostate cancer and benign prostatic hyperplasia and corresponding subsets. Criteria such as data input, data output, and correctness and completeness of results were used to evaluate the practicability of the programs. RESULTS: Although the programs produced equivalent results (areas under the curves and their characteristics), we observed deficiencies concerning input of data, processing of the output data, and completeness of the results. Analyse-It, AccuROC, and MedCalc exhibited good performance, but each program had different shortcomings. Only GraphROC could compare curves at a certain sensitivity or specificity cutoff. CONCLUSIONS: Adequate ROC analysis and ROC plotting cannot be performed with a single program. Analyse-It, AccuROC, and MedCalc can be recommended with certain limitations. Further improvements of the programs are necessary.
Authors: Marta Cosín-Tomás; Anna Antonell; Albert Lladó; Daniel Alcolea; Juan Fortea; Mario Ezquerra; Albert Lleó; Maria José Martí; Mercè Pallàs; Raquel Sanchez-Valle; José Luís Molinuevo; Coral Sanfeliu; Perla Kaliman Journal: Mol Neurobiol Date: 2016-09-08 Impact factor: 5.590
Authors: Rafael Molina; Jose M Escudero; Jose M Augé; Xavier Filella; Laura Foj; Aureli Torné; Jose Lejarcegui; Jaume Pahisa Journal: Tumour Biol Date: 2011-08-24
Authors: Rafael Molina; Elias Alvarez; Angeles Aniel-Quiroga; Maria Borque; Belen Candás; Antonio Leon; Rafael M Poyatos; Montserrat Gelabert Journal: Tumour Biol Date: 2010-08-21