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 16384 columns and up
to 100000 rows.
* 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.

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
* 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).

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
* Outlier detection
* Histogram and cumulative frequency graphs with
option of superimposed plot of the Normal
distribution
* Normal plot
* Dot 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 and post-hoc multiple
comparisons
* Analysis of covariance (ANCOVA) and post-hoc
multiple comparisons
* Repeated measures analysis of variance
* Kruskal-Wallis test and post-hoc multiple
comparisons
* Friedman test and post-hoc multiple comparisons
* Frequencies table, crosstabulation analysis,
Chi-square test, Chi-square test for trend
(Cochran-Armitage test)
* Tests on 2x2 tables: Fisher's exact test, McNemar
test
* Cochran's Q test and post-hoc multiple comparisons
* 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)
* Inter-rater agreement: Kappa and Weighted Kappa
* Intraclass correlation coefficient
* Concordance correlation coefficient
* Cronbach's Alpha
* Responsiveness
* 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
* Forest plot
* Comparison of proportions
* Odds ratio, relative risk, number needed to treat
(NNT)
* Sampling: calculation of sample sizes

Update history: http://www.medcalc.org/history.php

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