35+ statistical analyses
Frequentist and Bayesian methods — from t-tests and chi-square to Kaplan–Meier, Cox regression, mixed models, and propensity-score adjustment — each with assumption checks and effect sizes.
A desktop application for clinician researchers
ClinStat AI pairs a deterministic R engine with an AI layer you configure yourself. The numbers are trustworthy, the explanation is readable, and patient-level data never leaves your machine.
The welcome screen — bundled clinical datasets load in one click.
A focused statistical workbench — not a general-purpose stats package, and not a black box.
Frequentist and Bayesian methods — from t-tests and chi-square to Kaplan–Meier, Cox regression, mixed models, and propensity-score adjustment — each with assumption checks and effect sizes.
Tables and 300-DPI figures styled for manuscripts, exported to Word or Excel in one click. CONSORT and STROBE reporting checklists come pre-filled.
Every result exports standalone, runnable R code with package versions and random seeds, so your methods section documents itself.
Describe your research question in plain language. The wizard proposes an analysis plan you can review, adjust, and run.
A language model you host drafts plain-language summaries and methods text. It receives aggregated results only — never row-level data.
All computation runs on your machine with no cloud vendor involved. Bundled sample datasets take you from install to results in seconds.
From download to your first analyzed result in three steps.
Run the Windows installer and accept the evaluation license. The R statistical engine ships inside the installer — no separate setup.
Import CSV, Excel, SPSS, SAS, or Stata files, or click one of the bundled sample datasets to start immediately.
Pick a test or ask a question in plain language. You get the tables, the figures, an AI interpretation, and the exact R code behind every number.
Built for clinician researchers — MDs, PhDs, and epidemiologists running cohort studies, randomized trials, and registry analyses.