Sentence examples for combined studies within from inspiring English sources

The identified association of ESR1 to CMT in the present survey supports the power of the canine model for human breast cancer and the fact that combined studies within and between breeds can add power to the detection of risk alleles also for complex traits.

This consisted of a random effects model for combining studies within each subgroup and a fixed effect-model across subgroups [ 64].

Within and between-group differences in depressive symptoms for categorical variables were examined using mixed effects models that consisted of a random-effects model for combining studies within each subgroup and a fixed effect-model across subgroups [ 64].

However, these meta-analyses combined studies using different timings of early (within 48 hours [ 16], within 4 days [ 19], and between 6 and 8 days [ 17]) versus late interventions, so that the results were difficult to interpret.

The effect of treatment was also examined within subgroups for the combined studies.

We examined the occurrence of an intricate speciation within the clade, including the Qingdao strains, via combined studies of culture, hybridization and phylogenetic analysis.

In order to ascertain the interrelationships between HMW adiponectin, leptin and inflammatory cytokines/chemokines, individually or in combinations, with sex, adiposity or IR, we performed correlation analyses and constructed multivariate models in the combined study population and within each sex.

We did not observe any associations between polymorphisms in BsmI or Poly(A) and breast cancer risk for the combined study population (overall and within racial groups) after controlling for sampling weights and matching factors: age, race, and study site.

Accordingly, the multivariable models stratified within each sex basically recapitulated the results observed in the combined study population (supplementary Tables S5 and S6).

The existence of heterogeneity in meta-analysis is not only common [ 79], but also important, as there is no need to combine studies exactly alike since their findings, within statistical error, would be the same [ 80].

Importantly, heterogeneity in meta-analysis is not only common [ 71], but also relevant, as there is no need to combine studies exactly alike since their findings, within statistical error, would be the same [ 72].