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Offers choice between methodology of DeLong et al. Our ROC curve analysis module includes:Īrea Under the Curve (AUC) with standard error, 95% confidence interval, P-value. MedCalc is the reference software for ROC curve analysis. Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.Įasy selection of subgroups for statistical analysis.Ĭomplete HTML manual on MedCalc web site. Integrated spreadsheet with 1?048?576 rows and 16?384 columns. The software also includes Bland & Altman Description, Passing and Bablok and Deming regression for method comparison studies. The MedCalc ROC module includes comparison of up to 6 ROC curves. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. (Version 22.Free Download MedCalc 22.007 Multilingual Free Download | 55.8 Mb

Kirkwood BR, Sterne JAC (2003) Essential medical statistics, 2 nd ed.

Altman DG (1991) Practical statistics for medical research.

Note that in MedCalc P-values are always two-sided (or two-tailed). When the P-value is less than 0.05 (P<0.05), the conclusion is that the two means are significantly different. The P-value is the area of the t distribution with n 1 + n 2 − 2 degrees of freedom, that falls outside ± t (see Values of the t distribution table). The significance level, or P-value, is calculated using the t-test, with the value t calculated as: The standard error se of the difference between the two means is calculated as: Where s 1 and s 2 are the standard deviations of the two samples with sample sizes n 1 and n 2. The program first calculates the pooled standard deviation s:

Sample size: the number of observations in the sample.

Standard deviation: the observed standard deviation.The null hypothesis is the hypothesis that the difference is 0. The P-value is the probability of obtaining the observed difference between the samples if the null hypothesis were true. A significance value (P-value) and 95% Confidence Interval (CI) of the difference is reported.

This procedure calculates the difference between the observed means in two independent samples.