This article is translated by China Science Software Network
MedCalc Medical Statistics Software
Data management
Collect spreadsheets, import up to 16384 columns, 100000 rows;
Handling missing data correctly;
Easily exclude outliers;
Built-in WYSIWYG text editor;
Can import Excel, Excel 2007, SPSS, Dbase and Lotus files, as well as SYLK, DIF files or l plain text format files;
Easily select subgroups for statistical analysis.
MedCalc Reference
Comprehensive help documentation
PDF manual
The MedCalc website has a complete manual in HTML format.
Dialog-style context helper
Statistical function
Summary statistics
Outlier detection
Distribution
Histogram
Cumulative frequency distribution
Conventional map
Dot matrix
Box and whisker
Correlation
Correlation coefficient
Partially related
Level related
Scatter plot
return
return
Scatter plot and regression line
Multiple Regression
Logistic regression
Probability regression (dose response analysis)
Nonlinear regression
T test
One-sample t test
Independent sample t test
Paired sample t test
Rank sum test
Symbol rank sum test (one sample)
Mann-Whitney test (independent sample)
Wilcoxon rank sum test (pairing)
Variance ratio test (F test)
ANOVA
One-way analysis of variance
Two-way analysis of variance
Covariance analysis
Repeated measurement analysis of variance
Kruskal Wallis test
Friedman test
Cross (categorical data)
Frequency meter and chi-square test
Fisher exact test
McNemar test
Cochran Q test
Relative risk to odds ratio
Frequency histogram
subsistence analysis
Kaplan Meier survival curve
Cox proportional hazard regression
Series measurement
Reference interval
Reference interval
Age-related reference interval
Method comparison and evaluation
Bland Altman map
Multi-disciplinary multi-measurement Bland Altman diagram
Comparison of various methods
Mountain map
Daming regression
Passing and Bablok regression
Repeated measurement of coefficient of variation
Agreement and reaction
Group correlation coefficient
Consistency correlation coefficient
Inter-Tester Agreement (Kappa)
Cronbach Alpha
Responsiveness
ROV curve analysis
ROV curve analysis
Interactive point map
Figure VS standard value
Figure VS prevalence
Predictive value
Likelihood ratio
ROV curve comparison
Create a form
Statistical summary form
Related tables and related diagrams
Independent sample comparison
Paired sample comparison
Multi-frequency table
Introduction to Meta Analysis
Continuous measurement
Related
proportion
Relative risk
Risk difference
Ratio ratio
Area under the ROC curve
General inverse variance method
Summary data verification
Average test
Partial test
Chi-square test
2x2 form Fisher exact test
Pairing ratio McNemar test
Comparative method (t test)
Standard deviation comparison (F test)
Correlation coefficient comparison
Comparison of two ratios
Comparison of area under independent ROC curve
Rate confidence interval
Comparison of two ratios
Relative risk
Ratio ratio
Agreement between testers
Diagnostic test
Likelihood ratio (2xk table)
Sample size calculation
Single mean
Single ratio
Comparison of the two methods
Paired sample t test
Comparison of two ratios
McNemar test
Correlation coefficient
Survival analysis (log rankal test)
Bland Altman map
Area under the ROC curve
Comparison of two ROC curves
Confidence interval estimate sample size
Single mean
Single ratio
Mean difference
Paired sample mean difference
Differences in different proportions
Pairing ratio difference
Repeated measurement of coefficient of variation
Other graphics
Data comparison chart
Multiple comparison chart
Group multiple comparison chart
Multivariate graph
Group multivariate graph
Multi-line diagram
Control Charts
Youden map
Polar map
Forest map
Function graph
ROC curve analysis
MedCalc is a reference software for curve analysis, and the curve analysis model includes:
The area under the curve of the standard error (AUC), 95% confidence interval, P value, provides DeLong et al. (1988) and Hanley & McNeil (1982, 1983) method selection;
Sensitivity, specificity, likelihood ratio, 95% positive and negative predictive value list for all possible thresholds;
ROC curve with 95% confidence limit;
The threshold can be selected to correspond to the sensitivity and specificity of the interactive point map and automatic calculation;
The sensitivity, specificity or cost of the graphic vs. standard value;
a plot of predicted values ​​versus prevalence;
Interval likelihood ratio
Up to 6 ROC curves can be compared: area difference under ROC curve, standard error, 95% confidence interval and P value;
The sample size calculation of the area under the ROC curve is compared with the ROC curve;
Graphics
Various graphics
Data point identification in the figure
Draw text boxes, lines, arrows, and connectors
Name, save, and remember graphics and statistics
Statistics in the graph window
Save graphics in BMP, PNG, GIF, PCX, JPG or TIF format or in PowerPoint slides (*.pptx) format
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