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We consider also unstructured isotropic microstructures based on random adsorption algorithms and we carry out a convergence study of the representativity of the proposed unit cells.
The first question is related to the representativity of our sample against national populations of children with and without disabilities.
Although the surveys in all countries attempted representative sampling, determinants as level of education, working hours and socio-economic class, that are known to affect participation in surveys, might also have an impact on the representativity of our findings.
Therefore an assessment of the representativity of the sample is restricted.
To summarize: we believe that the representativity of our sample is fair.
We were concerned about the representativity of the advertisement-recruited participants.
In a second step, the influence of non-response on the representativity of the data was checked.
The number of included patients was lower than estimated, rising doubts about the representativity of the cohort.
The potential impact of this bias on the representativity of the data is likely to be modest.
This was confirmed in our study (Karnofsky performance score: trend only) arguing for the representativity of the study population.
In an attempt to provide more information on the representativity of the general female population cohort, we explored the possible difference between early and late responders.
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