Sentence examples for estimated within the same from inspiring English sources

Effects on secondary outcomes and on the FMD for each time point will be estimated within the same fitted model with unadjusted 95% CIs.

However, a new sample size was estimated within the same parameters (error of 2.5%, power of 80% and significance of 5%) and including the discovered rate of regular participation in sports, 14.8% (n = 775).

Routinely, when both AChE and BuChE activities are estimated independently within the same extract, an adaptation of the Ellman method (1961) is employed using specific substrates and inhibitors.

UNAIDS also estimated that within the same period, about 2.5 children globally were living with HIV of which 1.8 million were from sub-Saharan Africa [ 1].

When people listened to judgments made by others, they quickly converged to make estimates within the same range.

Standard errors based on different runs and different pairwise estimates within the same group of comparisons are reported in parentheses.

On the other hand, considerable variation in MVD estimates within the same paraffin block has recently been shown in another study (Ahlgren et al, 2002).

Some trends, such as differences in prevalence methods and case identification, or changes over time, may be better understood by examining differences across estimates within the same study.

For each outcome, and for ever smoking and current smoking, pairs of corresponding RR and CI estimates within the same study for males and for females were used to carry out meta-analyses of the sex ratio.

Additional tests of the relationship of lung cancer risk to various characteristics of interest were based on corresponding pairs of RR and CI estimates within the same study for the same definition of outcome and exposure, and deriving the ratio of the two RRs.

Comparing multiple cohort estimates within the same population allows the validity of prevalence estimates and predictors of alcohol use to be compared when measured using different techniques; if prevalence is accurately reported and not subject to substantial recall and reporting biases, prevalence and predictors should be mostly consistent across studies.