Scenario Guide

Use this guide to pick a module and test for your study design.

Implemented scenarios (48 tests)

Classical families: t, F, chi-square, exact proportions, z correlations/GLM, Wilcoxon rank tests.

ROC/AUC, diagnostic accuracy, log-rank, Cox, FDR screening, differential expression.

Superiority, NI, equivalence (TOST), Simon two-stage, cluster RCT, multi-arm ANOVA, Poisson counts, survival.

Study question	Module	Example test
Two-group mean difference	Power Workspace or Clinical	`t_two_sample`, `rct_superiority_continuous`
Paired / pre-post	Power Workspace	`t_paired`
One-way ANOVA	Power Workspace or Clinical	`f_anova_one_way`, `multi_arm_superiority`
Multiple regression $R^2$	Power Workspace	`f_mreg_omnibus`
Two proportions (Fisher)	Power Workspace or Clinical	`exact_fisher`, `rct_superiority_binary`
McNemar paired proportions	Power Workspace	`exact_mcnemar`
Correlation difference	Power Workspace	`z_corr_independent`
Logistic / Poisson GLM	Power Workspace or Clinical	`z_logistic`, `count_endpoint_poisson`
Biomarker AUC	Biomarker	`roc_auc_one`
Diagnostic sens/spec	Biomarker	`diagnostic_acc`
Survival / HR	Biomarker or Clinical	`cox_regression`, `survival_pmu`
Non-inferiority trial	Clinical	`rct_noninferiority_continuous`
Bioequivalence (TOST)	Clinical	`rct_equivalence_continuous`
Oncology Phase II Simon	Clinical	`simon_two_stage`
Cluster RCT	Clinical	`cluster_rct`
Omics screening + FDR	Biomarker	`discovery_fdr`

Document for planning only — use external tools or custom simulation: