MedCalc
MedCalc ist ein statistisches Softwarepaket für die biomedizinischen Wissenschaften. Es verfügt über eine integrierte Kalkulationstabelle für die Dateneingabe und kann Dateien in verschiedenen Formaten (Excel, SPSS, CSV, ...) importieren.
MedCalc umfasst grundlegende parametrische und nichtparametrische statistische Verfahren und Diagramme wie beschreibende Statistiken, ANOVA, Mann-Whitney-Test, Wilcoxon-Test, χ2-Test, Korrelation, lineare sowie nichtlineare Regression, logistische Regression usw.
Die Überlebensanalyse umfasst die Cox-Regression (Proportional Hazards Model) und die Kaplan-Meier-Überlebensanalyse.
Die Verfahren zur Methodenbewertung und zum Methodenvergleich beinhalten die ROC-Kurvenanalyse, die Bland-Altman-Darstellung sowie die Deming- und Passing-Bablok-Regression.
Die Software umfasst auch Metaanalysen und Berechnungen der Probengröße.
MedCalc - User-friendly statistical software
- user-friendly, fast and reliable statistical software
- easy to learn
- one edition includes all features
- more than 220 statistical tests, procedures and graphs
- reference software for ROC curve analysis...
- method comparison and method evaluation including Bland & Altman plot, Passing & Bablok, and Deming regression, ...
- reference intervals
- meta-analysis
- see complete list
- free updates
- available with an English, Chinese (simplified and traditional), French, German, Italian, Japanese, Korean, Polish, Portuguese (Brazilian), Russian and Spanish user-interface (help file and documentation in English)
- compatible with all contemporary Windows desktop editions
Link for test version:
https://www.medcalc.org/download.php
Weitere Informationen:
MedCalc for Windows description
Data management
- 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.
MedCalc Documentation
- Comprehensive help file.
- Manual in PDF format (go to download area).
- Complete HTML manual on MedCalc web site.
- Context help in dialog boxes.
Statistical features
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.
- 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.
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).
System requirements
- PC with Windows XP (with Service Pack 3), Windows Vista, Windows 7, 8, 8.1 or 10; or Windows Server 2003, 2008, 2012 and 2016 (all 32-bit and 64-bit versions supported).
- On Windows versions prior to Windows 8 or Windows Server 2012, support for Excel *.xlsx files additionally requires Microsoft .NET Framework 4.0 (a free download from Microsoft).
- 1024 Mb of memory.
- 60 Mb free space on the hard disk.