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

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MedCalc 19.1 醫學計算軟體

MedCalc 19.1 醫學計算軟體
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生化統計分析軟體
介紹

MedCalc 是一套專門為醫學工作者設計的醫學計算軟體,它可以幫助醫生快速作出醫學計算，從而對症下藥。提供超過許多常用的規則和方法，
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System Requirements

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.

MedCalc 醫學計算軟體

MedCalc 是一套專門為醫學工作者設計的醫學計算軟體,它可以幫助醫生快速作出醫學計算，從而對症下藥。提供超過許多常用的規則和方法，
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.

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

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 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).

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TURBOMOLE 7.4 化學計算軟體

Turbomole被認為是進行HF，DFT，MP2計算最快最穩定的代碼之一。它的特色不是在於新方法和新功能，而在於解決如何用盡量短的時間和盡量少的內存需求，快速、穩定地處理工業應用型的分子。特別是它獨有的RI-DFT方法，據稱可以較其它大多數DFT程序節省10倍的CPU時間，因此非常適合於大分子計算或中等分子的重複性計算（如幾何優化）

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MOPAC2016™ 量子化學軟體

MOPAC2016™ is the successor to MOPAC2012™ and has improved methods for modeling large biomolecules. MOPAC2016™ is a semiempirical quantum chemistry software package for the prediction of chemical properties and modeling of chemical reactions. It is used by chemists and biochemists for both research and teaching, and runs on Windows®, Linux, and Macintosh platforms.

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