The clinical and trial analyst
toolbox.
Plot ROC curves, survival curves and forest plots, check diagnostic accuracy, size a trial and test a scale’s reliability, with the numbers beside every figure.
Keep this toolbox for offline use
11 useful places to start.
Statistical calculators, not medical advice and not a substitute for a statistician when decisions matter. Data stays in the browser: nothing is uploaded.
ROC curve and AUC calculator
Draw a ROC curve from scores and true labels, with the AUC, its DeLong confidence interval and the best cut-off by Youden’s J.
Kaplan-Meier survival curve
Plot Kaplan-Meier survival curves from times and event codes, with Greenwood intervals, median survival and a log-rank test between groups.
Meta-analysis forest plot
Pool studies with fixed-effect and random-effects meta-analysis and draw a forest plot with heterogeneity, I² and a prediction interval.
Diagnostic test calculator (sensitivity, specificity, predictive values)
Work out sensitivity, specificity, predictive values, likelihood ratios and more from a 2×2 table, each with a confidence interval.
Sample size and power for a t test
Find the sample size, power or smallest detectable effect for a one-sample, paired or two-sample t test, from the exact non-central t distribution.
Cronbach’s alpha (scale reliability)
Measure the internal consistency of questionnaire items with Cronbach’s alpha, alpha if an item is deleted, item-total correlations and a Feldt interval.
2×2 table: risk ratio, odds ratio and Fisher exact test
Analyse a 2×2 table of exposure and outcome counts with risk ratio, odds ratio and exact p-values.
P-value and critical value calculator
Convert a z, t, chi-square or F statistic into an exact p-value and critical value.
Mann–Whitney U test calculator
Compare two independent groups without assuming a normal distribution, with exact p-values for small samples.
Cohen’s kappa calculator
Measure agreement between two raters beyond chance, with optional weights for ordered categories.
Multiple comparisons p-value correction
Adjust several p-values with Bonferroni, Holm or Benjamini–Hochberg corrections.
A few things you
can tick off.
- Draw an ROC curve and find its AUC
- Compare survival between two groups
- Pool trial results in a forest plot