Sentence examples for selection measurements from inspiring English sources

Exact(3)

The primary investigator is responsible for the informed consent procedure, final participants' selection, measurements, analysis and reports.

The strength of this study is the large representative population sample with known probability of selection, measurements of other known chronic disease risk factors, and a low drop-out rate in follow-up, and that participants brought in all medications they were taking and that usage was clarified at the clinic visits.

To quantify how variation in larval traits may affect survival, we introduce a flexible method that uses information from selection measurements to account for frequency dependence and estimate the relationship between phenotype and relative survival across a broad range of phenotypic values.

Similar(57)

Therefore, it is recommended to consider the following characteristics for lesion selection, measurement and overall assessment.

We identified consistent evidence of bias across the studies including selection, measurement, loss to follow-up, blinding of outcomes, confounding and statistical methods.

Based on the time-course microarray data, the system parameter estimation method and the model selection measurement Akaike Information Criterion (AIC) were then used to detect significant interactions [ 31, 32] (see Supplementary methods for details).

According to the Agency for Healthcare Research and Quality (AHRQ), "methodological quality" can be defined as the extent to which a study's design, conduct, and analysis has minimized selection, measurement, and confounding biases [ 15, 16].

However, important variations across studies, including methods of sample collection, patient selection, measurement units, statistical analysis and data interpretation, make it difficult to obtain a global view of VEGF distribution.

Even if all clinical trials share a common experimental basis, there can be also considerable innovation underway, at the level of design, sample selection, measurement tools, bioethical assessment, and statistical analyses [ 1, 2].

Building on the mixed methods work synthesized here, systematic attention to indicator framing, selection, measurement, and analysis, could occur while maintaining flexibility and revisiting indicators as health RCS proceeds [ 46, 51].

The tool has been developed for non-randomised studies of interventions and, while built environment interventions pose particular challenges, it is important to be aware of and minimise bias due to confounding, participant selection, measurement of interventions, departure from intended interventions, missing data, measurement of outcomes, and selection of reported results.

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