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easy-to-use statistical software
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Matrix functions
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Regression
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Mann-Whitney test (independent samples)
Wilcoxon test (paired samples)
Variance ratio test (F-test)
ANOVA
One-way analysis of variance
Two-way analysis of variance
Analysis of covariance
Repeated measures analysis of variance
Kruskal-Wallis test
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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 analysis
Cox proportional-hazards regression
Meta-analysis
Introduction
Continuous measure
Correlation
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Relative risk
Risk difference
Odds ratio
Area under ROC curve
Generic inverse variance method
Serial measurements
Reference intervals
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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
ROC curve analysis in MedCalc
Interactive dot diagram
Plot versus criterion values
Plot versus prevalence
Predictive values
Interval likelihood ratios
Comparison of ROC curves
Comparison of independent ROC curves
Create tables
Summary statistics table
Correlation table
Comparison of independent samples
Comparison of paired samples
Multiple frequency tables
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Test for one proportion
Chi-squared test
Fisher's exact test for a 2x2 table
McNemar test on paired proportions
Comparison of means (t-test)
Comparison of standard deviations (F-test)
Comparison of correlation coefficients
Comparison of two proportions
Comparison of coefficients of variation
Comparison of areas under independent ROC curves
Confidence interval for a rate
Comparison of two rates
Relative risk
Odds ratio
Inter-rater agreement
Diagnostic test
Likelihood ratios (2xk table)
Sample size menu
Sample size calculation: Introduction
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
Confidence Interval estimation & Precision
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
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About MedCalc
Spreadsheet overview
Introduction
Operators
Relative and absolute cell addresses
Complex numbers
Matrices
Mathematical functions
Trigonometric functions
Hyperbolic functions
Gamma function and related functions
Engineering functions
Complex number functions
Matrix functions
Statistical functions
Statistical functions on variables
Statistical test functions
Probability distribution functions
Date and time functions
Logical functions
String functions
Miscellaneous functions
Appendices
Control keys
Notation and symbols
Computational notes
Statistical tables
Values of the Normal distribution
Values of the t-distribution
Values of the Chi-squared distribution
Values of the F-distribution
Logit transformation
Miscellaneous tables
ISO language codes
Greek alphabet
ANSI character set
SI units
Multiples and submultiples of SI units
Tips and tricks
How to export your results to Microsoft Word
How to define and use labels
Transforming data to normality
Auto-complete function
Auto-values
Exclude outliers
Data point identification in graphs
Save and recall graphs and statistics
Statistical info in graph windows
Controlling the movement of the cellpointer
Locking the cellpointer in a selected area
How to reorder a categorical variable
References
MCOR matrix function
Description
MCOR(
A
) Returns the correlation matrix for the matrix
A
.
Calculator
MCOR(
)
See also
Matrices
Matrix functions
Mathematical functions
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