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In addition, different indirect effects were tested.
For models with more than one fitted parameter, all possible combinations of random effects were tested.
Interaction effects were tested using the full dataset, rather than the moderated dataset.
Based on this unrestricted model selection the model effects were tested for plausibility.
According to Jones and Kenward [17], three effects were tested: carry-over, period and treatment effects.
Effects were tested in a pretest-intervention-posttest control group design.
Enzyme inhibitory effects were tested against cholinesterases, tyrosinase, amylase, glucosidase and lipase.
Over the past few years, many active compounds have been separated and their pharmacological effects were tested [6 8].
Site effects were tested by fitting separate models on each site and scale effects were tested by varying the extent of the windows in which landscape variables were extracted.
General effects were tested using 1-way ANOVA.
Then, specific effects were tested by applying appropriate linear contrasts.
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