MedCalc v11.4.2.0

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.

Statistical features
Summary statistics, including averages, standard deviation, median, percentiles, etc.
Tests for Normal distribution: chi-square test, Kolmogorov-Smirnov test, D'Agostino-Pearson test
Histogram and cumulative frequency graphs with option of superimposed plot of the Normal distribution
Normal plot
Box-and-whisker plot
Correlation, rank correlation (Spearman's rho and Kendall's tau), and scatter diagram
Simple regression and scatter diagram with choice of 5 different equations for approximating curve (including parabola), residuals plot
Stepwise Multiple regression
Stepwise Logistic regression
One sample t-test, independent samples t-test (incl. correction for unequal variances - Welch test) and paired samples tests
Rank sum tests: Signed rank sum test (one sample), Mann-Whitney test (independent samples), Wilcoxon test (paired samples)
Variance ratio test (F-test)
One-way analysis of variance (ANOVA) with Levene's Test for Unequal Variances, and Student-Newman-Keuls (SNK) test for pairwise comparison of subgroups
Two-way analysis of variance
Analysis of covariance (ANCOVA)
Repeated measures analysis of variance
Kruskal-Wallis test
Friedman test
Frequencies table, crosstabulation analysis, Chi-square test, Chi-square test for trend
Tests on 2x2 tables: Fisher's exact test, McNemar test
Cochran's Q test
Frequencies bar charts
Kaplan-Meier survival curve, logrank test for comparison of survival curves, hazard ratio, logrank test for trend
Cox proportional-hazards regression
Meta-analysis: odds ratio (random effects or fixed effects model - Mantel-Heinszel method); summary effects for continuous outcomes; Forest plot
Reference interval (normal range) (CLSI C28-A3)
Analysis of Serial measurements with group comparison
Bland & Altman plot for method comparison (bias plot) - repeatability
Mountain plot
Deming regression (method comparison)
Passing & Bablok regression (method comparison)
Intraclass correlation coefficient
Concordance correlation coefficient
Inter-rater agreement: Kappa and Weighted Kappa
Receiver Operating Characteristics (ROC) curve analysis, sensitivity and specificity (with 95% confidence interval), likelihood ratios, predictive values. Methods of DeLong et al. (1988) and Hanley & McNeil (1982, 1983).
Interval likelihood ratios
Comparison of up to 6 ROC curves (with pairwise comparison of the area under the ROC curves, with 95% confidence interval and P-value)
Interactive dot diagram for selection of threshold values
Significance of difference between means, percentages and between correlation coefficients
95% Confidence Interval for a rate, comparison of rates
Different data comparison graphs, lines, bars, error bars (1 SD, 2 SD, 1 SEM, 95% CI, percentile ranges, etc.)
Multiple box-and-whisker plots
Notched box-and-whisker plots for pairwise comparison of medians
Dot and line diagram (ladder plot)
Quality control chart
Youden plot
Comparison of proportions
Odds ratio, relative risk
Sampling: calculation of sample sizes

MedCalc is compatible with Windows 2000, Windows XP, Windows Server 2003, Windows Vista and Windows 7 (both 32-bit and 64-bit

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