MedCalc

MedCalc是一套專為生物統計研究人員設計的完整統計程式(可應用在Windows),可快速、便於操作和可靠的軟體。

 

 

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.
  • Plot 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

System requirements

  • PC with Windows XP, Windows Server 2003, Windows Vista, Windows 7 or Windows 8 (32-bit and 64-bit versions).
  • 512 Mb of memory.
  • 20 Mb free space on the hard disk.
 
 
 
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