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Membership types for all audiences.
The organisation is made up of mostly lay members with three different membership types.
The organization is made up of mostly lay members with three different membership types.
See Supplementary Box S1 for more information about the multiple membership analysis technique.
Another major strength of this study is the use of the multiple membership technique.
Specifically, for a sample that had multiple membership labels obtained from different pathways, we applied a simple majority rule to determine the sample's membership.
Multiple membership multiple classification (MMMC) multilevel models have been around for some time (3) but are underused in social epidemiology.
As one patient could attend several physicians and several HCCs, we used a multiple membership model [ 14].
The list thus included 5,698 distinct HUPO gene symbols assigned to 260 gene groups (multiple membership allowed).
With the multiple membership technique, this bias is eliminated by weighting each patient by means of their number of diseases.
To adjust for this phenomenon, we applied multilevel logistic regression analyses with a multiple membership structure (19).
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