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Applications : MedCalc 12.7.4.0 (x86/x64)
 
MedCalc 12.7.4.0 (x86/x64) MedCalc 12.7.4.0 (x86/x64) | 15/18 MB MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable.
MedCalc 12.7.4.0 (x86/x64) MedCalc 12.7.4.0 (x86/x64) | 15/18 MB MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable.
MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman Description, Passing and Bablok and Deming regression for method comparison studies. MedCalc for Windows description ## Data management ## Integrated spreadsheet with 16384 columns and up to 100000 rows. ## Correct handling of missing data. ## Outliers can easily be excluded. ## Built-in WYSIWYG text editor. ## Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format. ## Easy selection of subgroups for statistical analysis. Documentation ## Comprehensive help file. ## Manual in PDF format (go to download area). ## Complete HTML manual on MedCalc web site. ## Context help in dialog boxes. ROC curve analysis ## Area under the curve (AUC) with standard error, 95% confidence interval, P-value. Offers choice between methodology of DeLong et al. (1988) and Hanley & McNeil (1982, 1983). ## List of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values. ## ROC curve graph with 95% Confidence Bounds. ## Threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity. ## Description of sensitivity and specificity versus criterion values. ## Interval likelihood ratios. ## Comparison of up to 6 ROC curves: difference between the areas under the ROC curves, with standard error, 95% confidence interval and P-value. ## Sample size calculation for area under ROC curve and comparison of ROC curves. ## Go to the ROC curve analysis section of the MedCalc manual for more information on ROC curve analysis in MedCalc. Graphs ## Lots of graphs, see Graph gallery. ## Data point identification in graphs. ## Draw text boxes, lines, arrows and connectors. ## Name, save and recall graphs and statistics. ## Statistical info in graph windows. ## Save graphs as BMP, PNG, GIF, PCX, JPG or TIF files, or as PowerPoint slides (*.pptx).
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