The learning ratio (LR) is a novel learning slope score that has been developed to reduce the inherent competition between the first trial and subsequent trials in traditional learning slopes. In essence, the LR is the number of items learned after the first trial divided by the number of items yet to be learned. Criterion and convergent validation of this LR score is warranted to understand its sensitivity along the Alzheimer’s disease (AD) continuum.

中文翻译：

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HVLT-R、BVMT-R 和 RBANS 沿阿尔茨海默病连续体学习斜率分数的验证

学习率（LR）是一种新颖的学习斜率分数，旨在减少传统学习斜率中第一次试验和后续试验之间的内在竞争。本质上，LR 是第一次尝试后学习的项目数除以尚未学习的项目数。有必要对该 LR 评分进行标准和收敛验证，以了解其在阿尔茨海默病 (AD) 连续体中的敏感性。