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In particular, extracting additional information about preference from each respondent facilitates assessment of preference heterogeneity among respondents through the use of interaction terms involving individual characteristics in the random utility function to be estimated.
Taking this into account one could argue that retrospective assessment of preference might be as suitable as prospective assessment of preferences.
This is not surprising given that in retrospective studies the assessment of preference probably includes an element of evaluation of the decision-making that occurred.
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For the direct assessment of preferences physicians had to assess 26 treatment characteristics which had been found to be relevant in the previous study [12] based on literature research and a qualitative pre-study.
The economic element of the study also involves the assessment of preferences for delivery of care, and will be assessed using a Discrete Choice Experiment (DCE) to be administered as a separate questionnaire at one year only.
Section "Approaches to time consistent assessment of preferences" is devoted to the time consistency property.
There we discuss two generic approaches to time consistent assessment of preferences and point out several idiosyncratic approaches.
Naturally, the assessment of preferences should be done in such a way that the future preferences are assessed consistently with the present ones.
In Section "Generic approaches", we outline two generic approaches to time consistent assessment of preferences: an approach based on update rules and an approach based on benchmark families.
In this section, we present a brief survey of approaches to time consistent assessment of preferences, or to time consistency for short, that were studied in the literature.
In this section, we outline two concepts that underlie the generic approaches to time consistent assessment of preferences: the update rules and the benchmark families.
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