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The TNx1 group showed no evidence of a correct preference (p >.1; one-tailed).
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A. Correct.
All analyses (behavioral and fMRI) are based on trials with correct preference responses.
This paper revisits the procedure developed by Sato (1983) who advocated Aggregate Correct Revelation in the sense that the sum of the Nash equilibrium strategies always coincides with the aggregate value of correct preferences for public goods.
Importantly, as in nonhuman primate studies, making correct preferences was only possible after correctly discriminating novel and familiar stimuli [17].
A: Corrected.
In the MDP Procedure, a correct revelation of preferences is a maximin strategy in the global game, as was pointed out by Drèze.
Thus, health care professionals were reasonably well able to make a correct estimation of patients' preferences.
Health care professionals are reasonably well able to make a correct estimation of patients preferences, but they should be aware of their own bias and use additional resources to gain a better understanding of patients' specific preferences for each patient is different and ultimately the care needs and preferences will also be unique to the person.
In conclusion, this study showed that health care professionals are reasonably well able to make a correct estimation of cancer patients preferences in general.
Correcting preferences obtained for body mass or BMI by taking into account individual self-perception biases (either additively or multiplicatively) led to very similar results.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com