|
Statistical features
- Summary statistics, including averages, standard deviation, median, percentiles, etc.
- Tests for Normal distribution: chi-squared 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 posthoc test according to Student-Newman-Keuls (SNK), Tukey-Kramer or Scheffé
- 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-squared test, Chi-squared 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, relative risk, risk difference, continuous measure, proportion, correlation, area under ROC curve; 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
|
