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Statistical analysis (Gaussian-based analysis, regression, correlation, statistical process control, intervention analysis).
The results of intervention analysis can be quite sensitive to the way the ARIMA model is fit.
Evaluation of the model includes calibration, validation sensitivity, and uncertainty analysis to establish its reliability for intervention analysis.
ARIMA-based intervention analysis is increasingly used in the health field (Helfenstein 1991; Imhoff et al. 1998; Jensen 1990).
This paper demonstrates randomized intervention analysis with user-friendly software, where observations are paired in time before and after intervention.
QUAL2Kw model is applied in the study stretch and can be used for intervention analysis for DO, CBODf, TN, and TC.
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Post-intervention analysis was done in the 20 workers who had participated in all phases.
Post-intervention analysis failed to demonstrate a significant difference in CPG knowledge.
We randomly selected 333 records for the pre-intervention analysis and 350 for the post-intervention.
Pre and post-intervention analysis showed no changes in participants' beliefs, attitudes and behavioural intention that might be confidently attributed to them having seen the commercials.
These tests were also applied in the co-intervention analysis and in the analysis of usage of home-based services and distribution of health-care professions.
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