Gamma
Survival Male Female

  • Endpoints, estimands, and decision criteria
  • Sample size & simulation-based power
  • Protocol/SAP consistency checks
Trials Observational Longitudinal Survival

  • GLM / mixed models / time-to-event
  • Missing data strategy & sensitivity
  • Clear outputs for clinical interpretation
R / Shiny QC-ready Traceable outputs

RWE comparability & bias checks

Cohort definition, confounding diagnostics, transportability limits, and decision framing.

Longitudinal endpoints

Repeated measures strategy, responder definitions, missingness patterns, and robustness.

Regulatory-ready reporting

Outputs built to survive review: traceability, consistent tables/figures, and reproducible pipelines.

MEDICAL AREAS
TECHNOLOGY & METHODS

Interactive tools

Select a tab on the right, then tune inputs here.

Normal means comparison

Move means/SDs and the decision threshold Δ. The plot highlights Type I error as the area under H0 beyond Δ.


For N: α = 0.05 • Power = 0.80 (two-sided), two-sample t-test approximation.

Two proportions

Enter successes and N for each group. Results include difference and 95% CI.

Click-to-add points

Click inside the plot to add points. Fit and intervals update live.

One-way ANOVA (3 groups)

Generate 3 Normal populations (same SD, different means).

Survival — KM (lung)

Endpoint: time • Event: status==2 (death) • Groups: Male vs Female

Spatial statistics — Milan demo

Hotspot score = number of events within radius r for each point (simple local intensity / clustering proxy).

Results
Sample size
Results
Proportions test
Results
Linear regression
Results
ANOVA
Results
Survival analysis

Estimands Uncertainty Sensitivity Traceability