MedCalc 19.1 醫學計算軟體-資安軟體/研究分析軟體/心理學軟體/新永資訊有限公司

• •  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.

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.

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).