K-dat Tool Fix File

Title: Unpacking the K-DAT Tool: A Critical Asset for Neurocognitive Assessment

Origins and motivation

• Problem: Models degrade when training and production data distributions diverge (dataset shift). Existing statistical tests were often either too rigid, poorly suited to high dimensions, or not sensitive to subtle distributional differences.
• Goal: Create a flexible, nonparametric test that works for high-dimensional data, is easy to compute, and provides insight into whether two samples come from the same distribution.

The Role and Impact of the K-DAT Tool in Health Service Evaluation Overview and Purpose k-dat tool

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