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MIP impact and testing/identification of factors shaping the MIP impact were analysed using secondary data analysis of population based surveys – nationally representative Georgia Household Health Utilisation and Expenditure Surveys (HUES) 2007 [ 26] and 2010 [ 27], and the report on the Georgia MIP Impact Evaluation Survey MIPIESS) 2008 [ 28].
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The development and propagation of stress during the low-velocity impacts are analysed using the finite element method.
Finally, trends in study approaches used to assess invasive plant impacts on different impacted groups were analysed using contingency table analysis with Pearson's χ tests with simulated P-values based on 2000 replicates to account for cell counts fewer than five (Gotelli and Ellison 2004).
All the volatile compounds collected were analysed using electron impact capillary gas chromatography-mass spectrometry (GC-MS) on HP-5, HP-Innowax and β-cyclodextrin columns.
Genes that were differentially expressed (P < 0.05) were analysed using signalling pathway impact analysis (SPIA) of the KEGG pathways.
Data were analysed using three-way ANOVA in a before-after-control-impact pairs (BACIP) design.
All data were analysed using FlowJo software.
Data were analysed using the Fiji Software34.
Spectra were analysed using AVANTAGE 4.54 software.
Data were analysed using QuantaSoft Software V1.7 (BioRad).
NMR spectra were analysed using CCPNMR Analysis48.
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