ROC curve analysis software Establish diagnostic accuracy, compare test performance, determine optimal thresholds, and meet CLSI EP24‑A2 requirements — all within Excel.

Rated best ROC curve software — Clinical Chemistry, March 2003.

Trusted by over 60,000 users at top-10 IVD manufacturers for more than 30 years.

Accurate, compliant ROC curve analysis
ROC curve analysis follows CLSI EP24‑A2 (formerly GP10‑A) to evaluate diagnostic accuracy, compare tests, and determine optimal decision thresholds, ensuring results meet regulatory and clinical expectations.
Estimate diagnostic accuracy
Calculate sensitivity, specificity, likelihood ratios, predictive values, and AUC with confidence intervals.
Compare tests and groups
Overlay ROC curves and compare AUCs to determine whether tests differ significantly in performance. Confidence intervals and statistical tests support objective evaluation across methods or independent groups.
Determine optimal decision thresholds
Identify clinically meaningful cut‑points using the Youden index, cost‑based optimisation, or constraints on sensitivity or specificity. Threshold exploration tools show how different decision points affect misclassification rates.
Evaluate clinical impact
Examine false‑positive and false‑negative rates, predictive values, and other diagnostic measures to understand the practical consequences of test performance at selected thresholds.
Compare subgroups
Assess ROC performance across different populations or clinical strata.
Runs in Microsoft Excel for easy deployment across your team. Analyse‑it integrates directly into Excel, letting you import data from instruments, analyse immediately, and generate publication‑ready reports without learning new software or managing proprietary file formats — significantly faster and more flexible than standalone tools.

We use Analyse-it frequently for our verification and pre-verification work, in accordance with CLSI guidelines for in-vitro diagnostics. It's saved time and effort compared to the hodge-podge of applications we used before, JMP, SAS, etc...

Brian Noland, Ph.D.

Principle Scientist, Product Development

Biosite / Inverness Medical Innovations
We use Analyse-it for the analysis of data necessary to file 510k. We chose Analyse-it because it works in Excel, includes CLSI protocols, and, unlike EP-Evaluator, lets us analyze data directly from equipment without typing.

Thomas D Harrigan, Ph.D.

Technical Product Manager

Alfa Wassermann Diagnostic Technologies
I used Analyse-It for many product development, product troubleshooting, and technology evaluation activities... your product was the easiest to use, was accurate, and produced publication ready reports.

Stanley F. Cernosek, Ph.D.

Clinical Chemistry Reagent Development

Beckman Coulter, Inc.
Analyse-it has been a tremendous help. I've published and presented at national cardiology meetings and couldn't have accomplished most of my research without it. Using Analyse-it, I even found errors or omissions in the work of our statistician!

Regina S. Druz, MD, FACC, FASNC

Director, Nuclear Cardiology

North Shore University Hospital
Although we only scratch the surface of Analyse-it’s capabilities, we have a very high volume of use for the statistics we need. It’s saved us time and the reports look professional.

Michael Savage

Chemistry Supervisor

Baptist Hospital East

* Available in the Analyse‑it Medical, Method Validation and Ultimate editions.

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