MedCalc 是專位醫學工作者設計的完整統計程式(可應用在Windows,新版支持Windows 10),它是快速、便於操作和可靠的軟體。MedCalc.是一個專門為醫學工作者設計的醫學計算器,功能齊全。它可以幫助醫生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。
MedCalc對ROC曲線(ROC曲線)而言是最實用的軟體,該模塊可以分析包括MedCalc ROC外多達6種ROC曲線的比較。這套軟體包括Bland & Altman plot, Passing和載明回歸方法的比較方法研究。
特色
- 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
- 免費升級 free updates
- 支持多國語言,包括簡體中文及繁體中文。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)
- 支持 Windows 系統 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
- See list of statistical procedures.
*Summary statistics
*Outlier detection
*Distribution plots- Histogram
- Cumulative frequency distribution
- Normal plot
- Dot plot
- Box-and-whisker plot
- Correlation coefficient
- Partial correlation
- Rank correlation
- Scatter diagram
*Regression- Regression
- Scatter diagram & regression line
- Multiple regression
- Logistic regression
- Probit regression (Dose-Response analysis)
- Nonlinear regression
- One sample t-test
- Independent samples t-test
- Paired samples t-test
- Signed rank sum test (one sample)
- Mann-Whitney test (independent samples)
- Wilcoxon test (paired samples)
*ANOVA ...- One-way analysis of variance
- Two-way analysis of variance
- Analysis of covariance
- Repeated measures analysis of variance
- Kruskal-Wallis test
- Friedman test
*Crosstabs (categorical data)- Frequency table & Chi-squared test
- Fisher's exact test
- McNemar test
- Cochran's Q test
- Relative risk & Odds ratio
- Frequencies bar charts
*Survival analysis- Kaplan-Meier survival curves
- Cox proportional-hazards regression
*Serial measurements
*Reference intervals- Reference interval
- Age-related reference interval
*Method comparison & evaluation- Bland-Altman plot
- Bland-Altman plot with multiple measurements per subject
- Comparison of multiple methods
- Mountain plot
- Deming regression
- Passing & Bablok regression
- Coefficient of variation from duplicate measurements
*Agreement & responsiveness- Intraclass correlation coefficient
- Concordance correlation coefficient
- Inter-rater agreement (kappa)
- Cronbach's alpha
- Responsiveness
- ROC curve analysis
- Interactive dot diagram
- Plot versus criterion values
- Plot versus prevalence
- Predictive values
- Plot versus prevalence
- Interval likelihood ratios
- Comparison of ROC curves
*Create tables- Summary statistics table
- Correlation table & Correlogram
- Comparison of independent samples
- Comparison of paired samples
- Multiple frequency tables
Meta-analysis
- Introduction
- Continuous measure
- Correlation
- Proportion
- Relative risk
- Risk difference
- Odds ratio
- Area under ROC curve
- Generic inverse variance method
Sample size calculation- Single mean
- Single proportion
- Comparison of two means
- Paired samples t-test
- Comparison of two proportions
- McNemar test
- Correlation coefficient
- Survival analysis (logrank test)
- Bland-Altman plot
- Area under ROC curve
- Comparison of two ROC curves
- Sample size for precision and confidence interval estimation
- Single mean
- Single proportion
- Difference between means
- Mean difference between paired samples
- Difference between proportions
- Difference between paired proportions
- Coefficient of Variation from duplicate measurements
- Regression-based reference limits
More graphs- Data comparison graphs
- Multiple comparison graphs
- Clustered multiple comparison graphs
- Multiple variables graphs
- Clustered multiple variables graphs
- Multiple line graph
- Control chart
- Youden plot
- Polar plot
- Forest plot
- Function plot
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 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
- 2048 Mb of memory.
- 60 Mb free space on the hard disk.
- To run MedCalc on a Mac, a Windows emulator is necessary such as Parallels or use Bootcamp.
Digimizer 為一個簡單且易上手的圖像測量分析軟體,其功能包括各種影像分析、精準的手動測量、自動物體偵測等。圖片可以是X光圖片或顯微圖等。支援的檔案類型眾多,例如JPG、GIF、 TIFF、BMP、PNG、WMF、EMF與 DICOM,影像可做旋轉,反轉或拉直,也可以調整亮度和對比度 (點選右圖可連結至產品介紹頁面)
特色
Image file operations
- Open, save and print image files
- Acquire image from scanner
- Grab image from live video stream
- Supported file formats: DGZ (native Digimizer file format), JPG, GIF, TIFF, BMP, PNG, WMF, EMF, and DICOM files.
Image manipulation
- Resize
- Crop
- Rotate, flip
- Zoom
- Adjust contrast & brightness
- Contrast auto fix
- Stretch histogram
- Background correction
- Despeckle
- Convert to grayscale
- Convert to color
- Invert
- Negative
- Sharpen
- Filters: Emboss, Arithmetic Mean Filter, Geometric Mean Filter, Harmonic Mean Filter, Median Filter, Maximum Filter, Minimum Filter, Midpoint Filter, Yp Mean Filter
系統需求
System requirements
To use Digimizer, you need a PC with
- Windows Vista, Windows 7, 8, 8.1, 10 or 11.
- 1024 Mb of memory.
- 20 Mb free space on the hard disk.