"Download" MedCalc App (2020) for Windows 10 PC/Laptop [FREE]
MedCalc for PC, Laptop Windows 10. Statistical software for biomedical research, including ROC curve analysis, method comparison and quality control tools. Free download MedCalc latest version 2020 for windows 10 [64 bit, 32 bit].
- Section Science
- Update: Latest version
- Operating System: Windows 10
- License: Free Trial
- CPU Support: 64 bit and 32 Bit PC
- Auto Verified: 2020-07-28
MedCalc - Free Download for Windows 10 [64 bit / 32 bit]
Download MedCalc latest version 2020 free for windows 10, 8, 8.1 and 7 | Setup installer [64 bit, 32 bit]. Statistical software for biomedical research, including ROC curve analysis, method comparison and quality control tools. Safe download with no ads and virus free, developed by MedCalc (23076).
*: Portable and Offline setup files are provided when available.
MedCalc is a statistical software for biomedical research, including ROC curve analysis, method comparison and quality control tools.
Integrated spreadsheet with 1 048 576 rows and 16 384 columns.
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.
- Comprehensive help file.
- Manual in PDF format (go to download area).
- Complete HTML manual on MedCalc web site.
- Context help in dialog boxes.
See list of statistical procedures.
ROC curve analysis
MedCalc is the reference software for ROC curve analysis. Our ROC curve analysis module includes:
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.
Plot of sensitivity and specificity, or cost, versus criterion values.
Plot of predictive values versus prevalence.
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.
- 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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