[行业软件]MedCalc 23.09最新授权 [复制链接]

MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman plot, Passing and Bablok and Deming regression for method comparison studies.
将图形保存为 SVG、PNG、JPG、高分辨率 TIF 或其他文件格式，或作为 PowerPoint 幻灯片 （*.pptx）。免费更新提供英语、中文（简体和繁体）、法语、德语、意大利语、日语、韩语、波兰语、葡萄牙语（巴西）、俄语和西班牙语用户界面（帮助文件和英文文档）一个版本包含所有功能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 context-sensitive help.
Complete HTML manual on MedCalc web site.
Context help in dialog boxes.
Paperback manual.

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 SVG, PNG, JPG, GIF, BMP, PCX, or high resolution TIF files, or as PowerPoint slides (*.pptx).

System requirements
PC with Windows Vista, Windows 7, 8, 8.1, 10 or 11; or Windows Server 2008 or more recent (all 32-bit and 64-bit versions supported).
On Windows versions prior to Windows 8, support for Excel *.xlsx files additionally requires Microsoft .NET Framework 4.0 (a free download from Microsoft).
2048 Mb of memory.
60 Mb free space on the hard disk.

Home Page - https://www.medcalc.org/

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