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The conditional logit is the most commonly used method to analyse DCE data, but relies on restrictive assumptions on the stochastic terms [23], fails to incorporate the panel structure of most DCE data and does not account for preference heterogeneity.
To account for preference heterogeneity between respondents, a latent class model (LCM) was developed.
These naturally account for preference class membership and 'net out' differences in scale.
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It is certainly appropriate that the exercise plan be adjusted to account for preferences.
Cost-benefit analysis has been criticized as being mechanistic and unable to account for preferences other than through market prices.
We speculate, therefore, that once pairwise color preferences are known and understood, enough relational information is available to account for preferences in higher-order combinations.
Health economists have thoroughly studied physicians' preferences regarding their job characteristics [12, 13], sometimes accounting for preference heterogeneity [14 16].
The DCE data were analysed using conditional, mixed and generalised logit regression models, accounting for preference and scale heterogeneity.
The mixed logit model has a utility specification that accounts for preference variations across individuals regarding travel time and number of traffic lights and correlations among repeated choices.
Accounting for preference heterogeneity around the factors for harms and benefits, using the individual beta estimates to calculate relative importance at the individual level revealed that 58% of respondents considered factors concerning harms of greater importance than benefits (Table 3).
When appropriate antimicrobial therapy is administered, CRRT within 48 hours and intra-abdominal source of infection were associated with increased hospital mortality after accounting for preference and processes of care.
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