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) that exponentially discounts older data, ensuring the most recent measurements have the highest impact on predictions.

: This method uses sequential Bayesian prediction to allocate patients to treatment arms. Models.rar

In clinical trials, describes a Response-Adaptive Randomization rule. ) that exponentially discounts older data, ensuring the

: Unlike standard random utility models, RAR can account for context-specific behaviors like the attraction effect . 2. Recursive Autoregressive Model (rAR) ) that exponentially discounts older data

: It favors the "best" treatment based on accumulated results, making the trial more ethical by potentially assigning more patients to effective treatments. 4. Machine Learning & Vision Models Other "RAR" models appearing in technical archives include:

If there is an extreme bias toward the reference point, it becomes the .