oscar-statistical-validation

What problem does it solve?

This skill provides structured guidance for validating statistical methods on CPAP/sleep-therapy data, ensuring robust test workflows and defensible results.

Core Features & Use Cases

• Test selection guidance for Mann-Whitney U, Kolmogorov-Smirnov, and Pearson correlation with practical thresholds.
• Validation patterns covering sample size checks, outlier handling, and numerical stability across common datasets.
• Use Case: A researcher quickly evaluates two patient groups to determine whether EPAP adjustments yield a significant change in AHI, with automated checks and safe fallbacks.

Quick Start

Run a Mann-Whitney U test on two sample groups to compare AHI distributions after EPAP changes.