MedCalc MedCalc

MedCalc 醫學統計分析軟體

MedCalc是一套群昱公司代理的醫學統計分析軟體,一個完整的專門為生物統計設計的軟體,內建各種生統專用的工具,是生物醫學研究人員的最佳研究夥伴,功能齊全。它可以幫助使用者快速作出普通的醫學計算,從而對症下藥。提供超過76種常用的規則和方法,包括病人資料、單位參數、費用計算等等。

分類: 醫學統計軟體


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




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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


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.


Graphs



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.


 

Windows 10 compatible    Windows 8 compatible    Compatible with Windows 7    Certified for Windows Vista logo