Sentence examples for data was constructed to from inspiring English sources

A multiple linear regression (MLR) model on the patient data was constructed to determine the relationships between the independent variables (waiting time, BMI, affected joint, 15D score at baseline, gender, age, education, housing) and 15D score at admission.

Even though this example data was constructed to show these properties, it is the kind of properties one might want to check first, before forming any specific hypotheses during the analysis of, e.g., ChIP-chip or ChIP-Seq experiments: are there wide or narrow peaks, tall or low ones?

The residual data is constructed to preserve zero false positive error until the last level of the hierarchy, where only most challenging samples remain.

Ratio intensity plots and heat maps for the raw and normalized data were constructed to identify outliers.

Data were constructed to observe a change between each of the four waves, yielding three study intervals: from wave one to wave two (1999 2001), wave two to wave three (2001 2003), and from wave three to wave four (2003 2006).

Besides, an analytical platform composed of comparative genomic analysis, PPI network, pathway analysis and visualization of genomic data were constructed to extend our understanding of the bamboo genome and to help researchers to design experiments for further validation.

Therefore, all models of maternal and infant data were constructed to include season and parity (nulliparous compared with parous) as confounders, and interactions between group and parity or season were considered as appropriate.

Data selection was constructed to best fit this goal.

A website was constructed to record data and to randomize patients to each EN formula.

A paper model, using example data, was constructed in order to achieve 'functional' specifications for the programmer of the application.

To obtain this aim, a data description is constructed to capture all characteristics of normal data, and subsequently this description is used to detect abnormal data which cannot fit it well.