Biostatistics Analysis Tool

What problem does it solve?

Automates biostatistical analyses on clinical datasets to speed up medical research workflows and reduce manual calculation errors.

Core Features & Use Cases

• Survival analysis with Kaplan-Meier or Cox models to evaluate time-to-event data.
• Logistic regression and ROC analysis to assess predictive performance.
• Sample size and power calculations to plan studies and determine required enrollment.
• Use Case: A clinical research team wants to compare time-to-event outcomes between two cohorts and quantify model discrimination.

Quick Start

Provide a CSV file containing patient data and request a complete biostatistical analysis, including survival curves, regression results, and ROC metrics.