Sentence examples for analyses of variability in from inspiring English sources

Analyses of variability in serial stable oxygen isotope samples (δ18O) further substantiate a model of localized bison herds that adhered to upland areas of the eastern Plains and prairie forest border.

There are limited longitudinal analyses of variability in access to cancer drugs over time, which could improve understanding of the effects of various health reforms on utilisation of cancer drugs.

Finally, we were not able to include use of antidepressants as a variable in the analyses because of variability in dose, type of medicine, timing of any changes, and lack of measuring adherence.

Thus, the cloning procedure introduced in this study also appears to be suitable for analysing the sources of variability in transgene expression.

The main goal of this paper is to provide quantitative methods to determine admissions quota for scheduled admissions and to analyse the impact of variability in scheduled admissions on the required bed capacity.

In our regression analyses, we consider predictors of variability in iF as well as the DMIRET, so that both individual risk and population risk findings from this study can be extrapolated to other airports not included in this study sample.

Nonetheless, extensive sensitivity-analyses explored the impact of variability in all key parameters; QFT-GIT implementation was cost-effective nearly 90% of the time at current WTP thresholds.

Our data analyses showed a large amount of variability in prevalence and reversion rates to wild-type codons among the resistance-associated mutations (RAMs).

Probabilistic sensitivity analyses were performed, taking account of variability in intervention costs and (long-term) treatment effects.

Because the results depend on the assumptions and choices for the input parameters, we conducted several analyses to examine the effect of variability in exposure and uncertainty in cancer potency values.

In the recent years, global and unbiased analyses of genetic variability in large cohorts of patients with Type 2 Diabetes and individuals with metabolic traits have changed how we perceive the pathogenesis of Type 2 Diabetes [ 4].