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MedCalc Statistical Software 10.3.0.0

Statistical software for biomedical research, including ROC curve analysis.
Last updated: March 30, 2009
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MedCalc Statistical Software 10.3.0.0 Summary:

Publisher: MedCalc Software
Rating:
Free Download MedCalc Statistical Software 10.3.0.0Download Now
  • Windows - 5.31MB
  • Licence: Demo, $395.00 to buy
  • Date Added: March 21, 2009
  • Release status: Major Update

MedCalc Statistical Software 10.3.0.0 Description:

MedCalc is a statistical software package for the biomedical sciences with an integrated spreadsheet for easy data input. Special features of the program are, amongst others, lots of graphs, ROC curve analysis, Kaplan-Meier survival plots, Bland & Altman plot, Deming and Passing & Bablok regression for method comparison, ANOVA, ANCOVA, repeated measures ANOVA. Certified for Windows Vista. Free trial available.

Software OS: Win98,WinME,WinNT 4.x,Windows2000,WinXP,Windows2003...
Setup Filename: medcalcsetup.exe
System Requirements: 64 MB RAM.

MedCalc Statistical Software 10.3.0.0 Tags:

roc,rocc,statistics,statistical,passing,bland,kaplan,laboratory,kappa,medicine,clinical trials

MedCalc Statistical Software 10.3.0.0 Full Description:

MedCalc is a statistical software package for 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, Kaplan-Meier survival plots, Bland & Altman plot, Deming and Passing & Bablok regression for method comparison, ANOVA, ANCOVA, repeated measures ANOVA.

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.

Certified for Windows Vista. Free trial available.


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