StatEL Base Module

• Utility for choice of the right statistic test
• Normality test
  • Shapiro-Wilks test
  • Khi² test
  • Kolmogorov-Smirnov test
• Extreme values analysis by :
  • Dixon test
  • Rosner test
• Descriptive statistics:
  • for quantitative variables
  • for qualitative variables
• Calculation of subjects number:
  • to evaluate one parameter in a population
  • to compare one parameter between 2 populations
  • to compare one parameter between K samples
• Preparation of data (counting of a qualitative variable) :
  
  • calculation of descriptive statistics by group
• Fisher’s exact test
• Comparison of an observed distribution with a theoretical distribution
• Comparison of 2 distributions of a qualitative variable
• Khi² test of association
• Creation of statistical plots (boxplot, histogram, ternary graph, 3D scatterplot)
• Comparison of an observed mean with a theoretical mean
• T-test for independent groups
• T-test for dependent groups
• One-way Anova for independent and dependent groups :
  • Dunnett posthoc test
  • Newman & Keuls posthoc test
    
• Two-way Anova :
  • without repeated measurements
  • with repeated measurements :
    • on independent groups
    • on dependent groups
    • on both dependent and independent groups
• Simple and multiple linear regression, Pearson correlation :
  • complete model
  • Stepwise selection of variables
  • analysis of diagnosis (linearity, homoscedasticity, normality of residuals, analysis of studentized residuals and the levers, Durbin-Watson test for serial variable)
• Ancova for adjusted means comparison
• Ancova for simple linear regression models comparison
• Nonparametric test of Mann et Whitney (for independent groups)
• Nonparametric test of Wilcoxon (for dependent groups)
• Nonparametric test of Kruskall et Wallis (for independent groups)
• Nonparametric test of Friedman (for dependent groups)
• Nonparametric test of Spearman correlation
• Inter-rater Reliability test :
  • Cohen’s Kappa for qualitative variables
  • Kendall’s correlation for quantitative and ordinal variables

StatEL Med Module (General and Biomedical Statistic Tests)

In addition to the above tests from the base version, StatEL Med offers the following:

• Calculation of Sensitivity / Specificity indexes
  • From raw or counted data
  • With a qualitative or quantitative “Medical Test” variable
• ROC
  • Elaboration of ROC curves (qualitative or quantitative diagnostic test)
  • Comparison of 2 ROC curves by analysis of area under curve
  • Calculation of N for comparison of 2 ROC curves
• Survival curve :
  • With actuarial method
  • With Kaplan-Meier’s method
  • Calculation of :
    • Survival indexes
    • 95% confidence intervals
    • Hazard rate
    • Cumulated hazard
• Comparison of survival curves
  • approach by:
    • actuarial method
    • Kaplan-Meier’s method
  • tests:
  • • logrank
    • approached logrank
    • Gehan
    • Peto & Prentice
• Bland & Altman analysis for comparison of clinical measurement methods with:
  • single measurements
  • duplicate measurements

StatEL AD Module (General statistical tests and multifactorial analysis)

This version includes al the features of the StatEL base pluse the below tests:

• Principal Components Analysis
  • Weight of variables and observations
  • Added or illustrative variables and observations
  • Replacement of missing data
  • Agglomerative Hierarchical Clustering after PCA
• Correspondences Analysis
  • Added or illustrative variables and observations
• Agglomerative Hierarchical Clustering
  • For a group of observations or des modalities of a qualitative variable
  • Replacement of missing data
  • Weight observations
  • Agglomeration criteria (minimum, maximum, mean or Ward distance)
  • Dendrogram construction
• Discriminant Analysis
  • Descriptive
  • Decisional
  • Added or illustrative observations
• Logistic regression
  • analysis of quantitative and qualitative covariates
    
  • gestion of design variables
  • log-likelihood, test of Wald and calculation of Odds Ratio
  • tests of Pearson's Khi², Deviance, Hosmer & Lemeshow
  • diagnostic analysis of the regression model