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MedCalc for Windows 8.2.0.3 Antivirus Scan Results: - 100% Clean

   MedCalc for Windows software have been tested by programsbase.com team against viruses, spyware, adware and was founded to be 100% clean.
  We will recheck this software periodically to assure users that it remain clean.
Note: this award offered by programsbase.com should be used only by the author/publisher of the MedCalc for Windows software.

MedCalc for Windows 8.2.0.3 Antivirus Report

Scanning setup32.exe
setup32.exe: OK

----------- SCAN SUMMARY -----------
Scanned directories: 0
Scanned files: 1
Infected files: 0
Data scanned: 1.36 MB
Time: 1.176 sec (0 m 1 s)

 
Get The Code for MedCalc for Windows 8.2.0.3 Antivirus Report:
 
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MedCalc for Windows 8.2.0.3 Description:

MedCalc is a stand-alone computer program for statistics in the biomedical sciences. It has an integrated spreadsheet which can be configured to contain up to 676 columns and 100000 rows. The program correctly handles missing data and provides reliable date arithmetic. MedCalc can import Excel, SPSS, DBase and Lotus files, and files in SYLK, DIF or text format.

Comprehensive on line help is available and, in addition to a manual in PDF format, a complete user manual is available on the web.

Special features of the program are, amongst others, lots of graphs including Kaplan-Meier survival plots, Bland & Altman plot, Deming and Passing & Bablok regression for method comparison. MedCalc also includes a complete module for Receiver Operating Characteristic (ROC) curve analysis, with calculation of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values. The program calculates the area under the curve (AUC) with its standard error and 95% confidence interval. Furthermore, threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity. Comparison of ROC curves includes calculation of the difference between the areas under the curves, with standard error, 95% confidence interval and P-value.

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