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: A clinical biomarker used in Cox regression models to predict in-hospital mortality for sepsis and heart failure patients.

: A model that generates visual tokens one at a time for image synthesis.

: Studies show rAR achieves higher precision (approx. ) and recall (approx. ) compared to other techniques like ARIMA. 3. Response-Adaptive Randomization (RAR) Models.rar

The Random Reference Model (RAR) is a framework in decision theory used to study stochastic choice behavior.

If there is an extreme bias toward the reference point, it becomes the . : A clinical biomarker used in Cox regression

: It employs a "forgetting factor" (typically around 0.6750.675

: It assumes decision-makers have reference-dependent preferences where the "reference point" itself is a random variable. Special Cases : ) and recall (approx

: Predicting critically low blood glucose levels in patients after weight loss surgery to prevent post-bariatric hypoglycemia (PBH) .

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