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The health states are defined by the dimensions ('attributes') and the level of the attributes.
This analysis results in a regression coefficient for each level of the attributes.
Analysis of the scenario order gave a utility score and represented the partial contribution of each level of the attributes in the determination of preferences.
We assessed the robustness (consistency and discrepancy) of the models on ranking of the relative importance between the attributes and the estimates of the β coefficients within each level of the attributes.
We compared results from the above models on the following criteria: rank on the relative importance of the attributes, and magnitude, direction and significance of the estimates of the β coefficient within each level of the attributes, which were obtained by regressing preference onto the difference in attributes between the two choices.
Similar(55)
In these scenarios the change in probability of respondents choosing the simulated scenario over the base case corresponds to the utility associated with the new level of the attribute.
The coefficient is negative as "24 times for 45 min over 3 years" was selected as the reference categories and participants decided to opt against this level of the attribute "Total number and duration of necessary visits to a physician".
This allows us to determine the impact of the level of the attribute.
The latter is likely to represent a higher level of the attribute being measured.
A positive (negative) sign indicates that this attribute level is preferred (not preferred) to the base level of the attribute.
Coefficients with positive signs indicate that as the level of the attribute increases so does the utility.
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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