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The determination of parameters like matrix effects (ME), extraction efficiency (EE) and absolute recovery (AR) is mandatory.
The Mixed Effects (ME) engine explores the benefit of including second- and third-order variable interactions.
Group results were obtained with full mixed effects (ME) modelling, thus allowing generalization to the participant populations.
Mixed effects (ME) regression is a generalisation of paired t-tests.
This allowed for the same conversion to be obtained in all samples and to compensate the matrix effects (ME) adequately.
Note that some of the effects that were statistically significant in the model reporting beta coefficients may not be statistically significant when expressed as Marginal Effects (ME).
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In Tables 1, 2 and 3, we instead report the marginal effects (MEs) of the control variables.
In earlier works the Main Effect (ME) was revealed for substorms.
Hyperfine parameters have been investigated with 57Fe Mössbauer effect (ME) spectroscopy in the temperature range (77 345 K).
Matrix effect (ME) was calculated as (set 2/set 1) × 100.
It had such a bad effect me.
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