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MedCalc 13.0.0.0 (x86/x64)

本帖由 漂亮的石头2014-02-11 发布。版面名称:便携软件

  1. 漂亮的石头

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    MedCalc 是一个专门为医学工作者设计的医学计算器,功能齐全。它可以帮助医生快速作出普通的医学计算,从而对症下药。提供超过76种常用的规则和方法,包括:病人数据、单位参数、费用计算等等。


    MedCalc 13.0.0.0 (x86/x64) | 36 MB

    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.

    MedCalc for Windows description

    • 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
    • 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, 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.

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


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