Exact(2)
Thus, the DKRR is a valid and substantial resource for future epidemiological studies.
A comparison of valid and substantial data on attitudes of different social groups and different models is needed for the public deliberation on solutions to increase the rate of donations.
Similar(58)
For instance, Wolf and others consider that "findings that are analytically valid, reveal an established and substantial risk of a serious health condition, and are clinically actionable should generally be offered to consenting contributors"(Wolf et al. 2012).
Regarding the criteria for returning research results in microbial research, it is suggested that findings that are "analytically valid, reveal an established and substantial risk of a serious health condition, and are clinically actionable" should be returned to participants (Chuong et al., 2017).
It is, however, generally agreed upon in Canada that: "findings that are analytically valid, reveal an established and substantial risk of a serious health condition, and that are clinically actionable should generally be offered to consenting contributors" [ 6].
The FMS is reliable, valid, and sensitive [ 9] with substantial agreement between direct observation and parental report [ 14].> The FMS ratings were analyzed in relation to level of gross motor function, CP subtype, and age.
Valid reasons for deregulating an apartment include conversion of the building to a co-op or condominium; high rent/high income deregulation; and "substantial rehabilitation" of the building, Mr. Languedoc said.
This level is captured by a composite ILO EPLex indicator, which embeds information on trial periods, substantial requirements for dismissals (valid and prohibited grounds), notification procedures and the duration of notice periods, and severance and redundancy pay, as well as remedies available in case of contesting a dismissal.
It's creative and substantial commercially".
These pH fronts are immediate and substantial.
Without valid statistical methods to fill in the values < LOD, researchers frequently have to resort to categorizing the left-censored data in analyses, which may lead to bias and substantial loss of efficiency (Taylor and Yu 2002).
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