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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
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
- 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.
