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As of May 2015, the machine learning tools offered cover a range of tasks, including classification, clustering, generalized linear models, statistical analysis, ensembles, optimization tools, data preprocessing options and deep neural networks [143].
To fit our binary regression and survival models, statistical analysis used Shotgun Stochastic Search (SSS) routines from [22], [23].
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For comparison between genotypes, we used a linear mixed model statistical analysis (SAS 9.2), with p < 0.05 being designated as statistically significant.
The statistical model, statistical analysis method, and test plan design method are the three key elements of ALT.
We have developed a method for identifying where operator judgement occurs within a production process, based on a plant model, statistical analysis of historical production data, and fieldwork.
A mixed linear model statistical analysis revealed that all females and seven males showed significant cycle effects in mental rotation performance.
Besides, response surface methodology (RSM) and central composite design (CCD) were applied for modeling, statistical analysis and optimization of oil-in-water emulsion microfiltration.
Mixed model statistical analysis of data showed time effects for unacylated ghrelin, GLP-1, glucose, insulin, hunger and fullness, however, meal effects were not shown for any of the parameters.
GK performed and interpreted the mixed model statistical analysis.
Using the random-effects model, statistical analysis was performed using Stata software, version 12.0.
The raw output data analysis was performed using the online tool WEBARRAY - Online Microarray Data Analysis - in 'Linear model statistical analysis' mode.
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