Analyse‑it Medical is a desktop statistical analysis software product designed specifically for medical, clinical, and laboratory data analysis. It provides statistical methods commonly used in medical research, diagnostics, and method comparison studies, with a focus on accuracy and reproducibility. The software supports analytical workflows used in clinical research, in vitro diagnostics, and healthcare‑related studies. It enables users to apply recognized biostatistical techniques without requiring programming or custom statistical scripting. Analyse‑it Medical is intended for professionals who need to evaluate diagnostic performance, agreement between methods, and clinical study data in a structured and consistent manner. It emphasizes correct application of medical statistics rather than general‑purpose data analysis.

Key Features

Diagnostic Test Evaluation

Analyzes diagnostic performance.

• Sensitivity and specificity analysis
• Predictive value calculation

Method Comparison and Agreement

Compares measurement methods.

• Bland‑Altman analysis
• Regression‑based comparison methods

Receiver Operating Characteristic (ROC) Analysis

Evaluates diagnostic accuracy.

• ROC curve generation
• Area under the curve analysis

Reference Interval Analysis

Establishes clinical reference ranges.

• Calculation of reference intervals
• Assessment of distribution characteristics

Clinical Statistical Testing

Applies biostatistical methods.

• Parametric and non‑parametric tests
• Confidence interval estimation

Medical Data Visualization

Supports interpretation of results.

• Clinical and diagnostic plots
• Statistical summaries for reporting

Benefits

Supports Medical and Clinical Research

Provides appropriate statistical tools.

• Designed for clinical study data
• Suitable for diagnostic and laboratory analysis

Improves Diagnostic Evaluation

Enables structured performance assessment.

• Objective comparison of tests
• Quantitative evaluation of accuracy

Enhances Reproducibility and Consistency

Standardizes statistical procedures.

• Defined analytical workflows
• Repeatable analysis results

Reduces Statistical Complexity

Simplifies advanced medical statistics.

• No programming required
• Guided analytical processes

Supports Regulatory and Quality Requirements

Uses established medical statistical methods.

• Clear and traceable analysis outputs
• Suitable for documented clinical evaluation