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Agent applications automate aspects of human performance and support the human user by continuous data analysis, monitoring of data streams and large databases, and where routine reactions to events are required.
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Since no normal distribution could be assumed for the continuous data, analysis was done by means of the Mann-Whitney U test.
The Egger test was usually applied for continuous data analysis.
Continuous remote data analysis applies behavior learning methods by modeling walking habits and allows the detection of deviations by application of thresholds defined by the expert.
We further aim to optimize class discovery by parallel data analysis of continuous and discrete data as obtained by 'amplicon-finding' algorithms [ 3].
Ideally, the continuous longitudinal gene expression profiling would be better analyzed as a whole by functional data analysis techniques [ 8, 9].
Interactions revealed by MDR analysis were confirmed by linear regression (continuous data) and by logistic regression (33rd percentiles).
Repeated measurements analysis was used to analyze time dependent data and multiple comparisons of continuous data were performed by analysis of variance (ANOVA).
†Analysis by regression analysis using generalized linear models after logarithmic transformation for continuous data or by logistic regression analysis for categorical data.
Continuous data were obtained by analysis of variance to evaluate the differences between the groups, and a post hoc comparison was conducted using the Tukey honestly-significant difference test.
For subgroups analysis, continuous data were compared using the Kruskal-Walis test followed by pairwise Mann-Whitney test with Benjamini-Hochberg correction.
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