Sentence examples for methods and variability from inspiring English sources

8, 24 Deposition of inhaled particles is influenced by physiochemical properties, inhalation methods, and variability in patient inhalation, impacting bioavailability and treatment efficacy.

Due to a proliferation of research methods and variability in how subgrouping results are interpreted, it is timely to open discussion regarding a conceptual framework for the research designs and statistical methods available for subgrouping studies (a method framework).

There is a need for a method framework for subgrouping studies in low back pain due to considerable interest in subgrouping and clinical prediction rules, a proliferation of research methods, and variability in how subgroup results are interpreted.

When applying signatures to the images they were derived from, signature expansion improved accuracy relative to the conventional method, and variability in accuracy declined markedly.

variability due to the stochastic nature of the Monte Carlo clustering method and variability due to different parts of an MD trajectory being clustered.

Of note that (at least) two sources of variability of cluster memberships need to be scrutinized as follows: variability due to the stochastic nature of the Monte Carlo clustering method and variability due to different parts of an MD trajectory being clustered.

Measuring blood glucose requires standardized procedures to minimize variability and bias, both in terms of required analytical methods and biological variability.

These values are difficult to compare with ours because of different reference methods and sample variability, but they seem to be in the same range and thus indicate that the predictive power of NIR is similar to FTIR-PAS.

Questions about fish consumption in the questionnaires varied considerably between centres and countries, from simple questions on whether participants ate fish and the frequency and portion size to more detailed information on type of fish eaten, cooking methods and seasonal variability.

The metamodel was built based on the vocabulary commonly used in the context of CFs, for example: pointcuts, classifier extensions, method overriding, and variability selection.

In nucleotide MSAs, Entropy provided the highest number of divergent regions in the five MSAs, while the DNAW, Weighted and Variability methods exhibited variable behaviour.