Sentence examples for sample selection such from inspiring English sources

Studies that executed non-random sample selection, such as those studies that only included patients who were admitted during working hours or during weekdays, were excluded.

These tools most frequently contained items that addressed aspects of sample selection (such as inclusion/exclusion criteria of participants, homogeneity of participants at baseline) and data analyses (such as whether appropriate statistical analyses were performed, whether a justification of the sample size or power calculation were provided).

DST can be introduced in laboratories using disk diffusion testing in a well-defined sample selection, such as the urine of patients with pyelonephritis or even community-acquired cystitis, respiratory samples in severe pneumonia, other severe infections and more general in situations, regions or institutes with high resistance rates.

Given the structure of irrigation adoption in rice farming, it is not possible to control for pre-conditions applying sample selection models such that decisions narrow down to a switch from traditional to modern irrigation.

PC sample selection for such a study should be biased toward early stage patients to elicit the diagnostic capabilities of PBMC differential expression in the patient population in which it has the greatest likelihood of having a positive impact on patient outcome.

Such sample selection may induce some correlation of the unobserved heterogeneity component with the UIS System variables because eligibility rules make such variables dependant on workers' labour market histories.

However, to reach this stage careful consideration must be given to experimental logistics such as sample selection, device calibration and data processing.

Much research on patient and environment characteristics has been compromised by methodological flaws such as sample selection bias.

Because of the nature of the survey, there were several limitations, such as sample selection and lack of formal assessment.

In addition, two other reviews highlighted challenges such as sample selection and population choice when planning epigenome-wide association studies (EWAS) [ 21, 22].

There is also further need to control for sample selection bias and unobserved heterogeneity in such models.