Sentence examples for data assessment of the from inspiring English sources

However, for IDW, after ensuring normality of the data, assessment of the optimal power function was determined by testing a series of powers ranging from 1.0 to 4.0, which is the range in which the optimal power commonly lies (Kravchenko 1999).

GHF also carried out the QoL data assessment of the healthy control sample and statistical analyses.

CG developed the design of the study, carried out the organization of QoL and visual field data assessment of the stroke patients sample, performed the statistical analyses, and drafted and revised the manuscript.

The fourth data assessment of the longitudinal study is ongoing (data collection 2014 2017) and consists of a questionnaire that is distributed to participants with donor-conceived offspring when the child is 7 8 years old.

For each topic, the systematic review included the development of well specified research questions, literature searches, data extraction of primary studies and existing systematic reviews, tabulation of data, assessment of the quality of individual studies, and assessment of the overall quality of the literature and summary conclusions.

Despite the fact that dalfampridine-ER is a drug to treat a symptom of MS (walking impairment) highly associated with decreased HrQoL, no data assessment of the effect of dalfampridine-ER on a measure of health utility or HrQoL has been published.

Initial data assessments of the 43 full-length operations showed that task intensity was highest during the induction phase in contrast to the maintenance phase.

SMDG participated in collection of data, assessment of dietary factors, and review of the manuscript.

In analyzing the data, an assessment of the monthly data on clinic attendance and utilization was conducted.

Comparing to the TiGER which used EST data for assessment of the tissue-specific expression, the TiSGeD mainly adopted microarray data on a much broader tissue scale.

A typical clustering process involves feature selection, selection of a similarity measure, grouping of data, and assessment of the output.