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For some surveys on fBm we refer to Biagini et al. [1], Hu [2], Mishura [3], Nourdin [4], Nualart [5], Tudor [6] and the references therein.
MHD supported CG for some surveys of political actors and for a multicriteria analysis of the potential impacts of biofuels used in order to understand the interplays among stakeholders.
For some surveys, it is important to ensure that there are enough members of a certain subgroup in the population so that more reliable estimates can be reported for that group.
In either instance, occupational categories were aggregated to reflect national classifications or sample size limitations for some surveys.
For some surveys, a response rate of 80percentt is desired; in others, 60percentt is deemed adequate.
An additional point of "valuable" was inserted into the scale for some surveys and as indicated in the Results to allow for variability across respondents.
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The model also corrects for "house effects" that I talked about in an earlier post, the tendency for some survey houses to produce estimates that are systematically higher or lower for one candidate than other pollsters.
Not all respondents answered all fields, hence the total number of responses for some survey fields varied.
However, we acknowledge that, even if the MABEL cohort is shown to be similar to the population in terms of observed characteristics, there may still be differences in unobserved characteristics that bias responses for some survey questions.
In addition, for some survey items, yes-no questions (e.g., Does your hospital have a one-stop clinic?) rather than the implementation rates (e.g., What percentage of patients are able to access a one-stop clinic?) were asked.
For example some surveys make use of standardised symptom questionnaires asking only about the existence and duration of symptoms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com