MedCalc

MedCalc – User-friendly statistical software

Quote:

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.

Order MedCalc® now for 395 USD (20909.20 INR) and download all future updates free of charge.

MedCalc is compatible with Windows 98 SE, Me, Windows 2000, Windows XP, Windows Server 2003 and Windows Vista.

Data management

* Integrated spreadsheet (pop-up) with 16384 columns and up to 100000 rows.

* Correct handling of missing data.

* Outliers can easily be excluded – Example (pop-up).

* 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.

* 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 – Example (pop-up).

* Name, save and recall graphs and statistics – Example (pop-up).

* Statistical info in graph windows – Example (pop-up).

System requirements

* PC with Windows 98 Second Edition or better (MedCalc is compatible with Windows 98 SE, Me, Windows 2000, Windows XP, Windows Server 2003, Windows Vista).

* 64 Mb of memory.

* 8 Mb free space on the hard disk.

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 2×2 tables: Fisher’s exact test, McNemar 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)

* 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

* 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

* 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

Download

http://hotfile.com/dl/149734/9545a3b/MdcAl.rar.html

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