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Interpersonal differences can be accounted for by their inclusion as covariates and/or their specification in a mixed logit model to explain the extent to which individual preferences vary around the mean sample preference parameter.
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Our first finding was that people prefer a mixed solution in terms of surface allocation: the wood meadow mix (75% woodland, 25% meadow) is at the top of the sample preferences.
Therefore, it is not known to what extent this recruitment approach may have impacted the representativeness of the overall sample preferences.
Shiell et al, in a study of repeated preference elicitation on two health states in 42 people showed that, for most of the sample, preferences were stable over repeated testing, suggesting completeness [ 17].
Most respondents in our sample show preference and variance stability consistent with rational pre-existent and well formed preferences.
The sample of preference is the spleen, where the highest titres and highest half-life of ASFV DNA are observed.
Relying solely on sample average preferences will probably be insufficient to optimize medical doctors' sensitivity to the preferences of an individual and unique patient during a consultation.
Governments increasingly sample the preferences of their citizens before making policy decisions, media outlets commission polls as part of their reporting, and research organizations map changes in attitudes on social questions.
Sample level preferences were estimated for all models and differences between patient subgroups were investigated using covariate-adjusted multinomial logistic regression.
Random errors occur because eight to 12 samples are taken randomly (the location of the cancer is unknown) and systematic ones occur because certain parts of the gland are sampled in preference to others.
In this sample, a preference-based measure indicated poorer health, consistent with clinical evidence, whereas a norm-based measure indicated health similar to the average for the general population.
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