In the longitudinal data analysis, mean follow-up was 9 years (SD 2.7).
For data analysis, mean values of Ers, Rrs and EEP were calculated on a breath-by-breath basis from the last minute of each PEEP step, and immediately before the CT scanning was performed.
A crossed mixture design coupled with data analysis by means of response surface methodology (RS M and multiple response optimization through a Desirability function (D) was applied for the first time to the area of development and optimization of culture media for the production of recombinant proteins in mammalian cells.
An experimental mixture design coupled with data analysis by means of both response surface methodology (RS M and artificial neural networks (ANNs) followed by multiple response optimization through a desirability function, was applied to the production of δ-endotoxins from Bacillus thuringiensis var.
The continuous development of bioinformatics HTS data analysis tools means that it is also necessary to store raw data to enable future recalculation of clusters and representative sequences.
As another example, when Bayesian methods were employed in the data analysis, posterior means and 95%% credible intervals are usually reported.
For further data analysis by means of multivariate statistics, the proteomics data as well as the Bio-Plex™ data were combined in a single data matrix and subjected to principal component analysis (PCA).
Based on the Central Rift Valley climate data analysis (1970 2009) mean annual rainfall and mean annual temperature range from 737 to 955 mm and 17 to 20 °C, respectively (Muluneh et al. 2017).
In this paper, by the data analytics, we mean the whole KDD process, while by the data analysis, we mean the part of data analytics that is aimed at finding the hidden information in the data, such as data mining.
