Sentence examples for method that properly from inspiring English sources

Exact(3)

The analysis of real data confirmed that RareIBD is the only method that properly controls type I error.

In this work, we present a statistical method that properly deals with the sample support of soil profile data so that all data can be considered in a single geostatistical analysis.

Especially at this shallow level of divergence, it is likely that multiple processes such as demography and incomplete lineage sorting influence the gene genealogies and the implementation of a method that properly accommodates this variation, rather than a concatenation approach, becomes especially relevant [ 89, 90] and references therein.

Similar(57)

However, there are few methods that properly combine agent-oriented design and implementation initiatives.

New methods that properly adjust for style bias show that, as a group, active management is still underperforming passive management in all categories and over nearly all time periods.

Unfortunately, the statistical methods that properly handle 'long' indels are not sufficiently fast on even moderately large datasets.

On the contrary, such incorrect analyses will simply introduce immortal time biased results and should not substitute the well-established methods that properly classify exposure during follow-up.

Because some short-lived biomarkers are increasingly a focus of health association studies [e.g., environmental phenols and phthalates], there is a need for methods that properly address measurement error.

Perhaps the greatest challenge will be to develop methods that properly account for ascertainment bias: the failure to sample all paralogs in a gene family for some or all taxa.

As there is no segmentation method that works properly in every situation, we integrate multiple segmentation algorithms in order to increase robustness of the approach.

We further evaluate the statistical properties of these measurements, using a method that can properly account for the sources of variability in the dataset.

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