Sentence examples for inflated variability from inspiring English sources

However, this comes at a price: in comparison to a single large-scale study, ICAD will have inflated variability in its accelerometer measurements.

If sequencing errors are biased, the same error may be generated more frequently than assumed, leading to an inflated variability estimate.

Methodological challenges include inflated variability in accelerometry measurements and the wide variation in tools and methods used to collect non-accelerometer data.

The advantage of integrating transcriptomic and proteomic data may diminish without accounting for regulation factors as the resulting inflated variability may limit reliability and reproducibility of findings [ 100].

Second, inflated variance estimates because of unstable regression models (e.g. small sample size, collinearity) would also lead to a high estimated variability of the changes, highlighting the importance of routine model checking in the approach.

This may be too small, so some of this intraindividual variability may have been transferred into the population variability, hence inflating the variability shown in Figure 6.

As a high sequencing error rate as well as erroneous mapping of reads could have inflated the variability estimate, we very carefully evaluated the sequencing error rate and mapping accuracy.

Simulated data with inappropriate parameter combinations tend to show increased variability as a wider range of simulated data (referred to as "inflating the variability").

The study by Perkins et al. (2004) examined reliability of the MM3B but used repeated measurements on human participants, which inflates the variability as it combines the relatively large biological error of the participants and the smaller technical error of the machine [their contributions to the total variability has been estimated to be 90% and 10% respectively (Macfarlane 2001)].

Data collected here were too sparse to allow an estimation of the variability between dose occasions, which is likely to have inflated the inter-individual variability.

By contrast, simply using each person's 'raw' standard deviation of RT would inflate the apparent variability for participants who showed substantial improvement over the course of their trials.