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To estimate the accuracy of a diagnostic test by use of latent class models, the best-fitting model, as determined by the presence or absence of correlation between diagnostic tests in the model, should be used [ 14, 15].
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The variable was tested in the model and was set to influence the two reading factors.
Six correlations were tested in the model under different filling ratio conditions.
In solid green are the COP curves used for sensitivity testing in the model for 2005 (lower) and 2025 (upper).
Interactions were tested in the model; variables strongly associated with other(s) were not included in the multivariate analysis.
The different strengthening methods are tested in the model by dynamic analysis with moving train loads.
Four homogeneous and three heterogeneous reaction schemes were tested in the model against measured homogeneous ignition characteristics.
Possible human activities influencing mature tree survival, in particular charcoal production, are not tested in the model.
After removal of BSV on V1, addition of BOV on single or multiple parameters was tested in the model.
Parameters tested in the model included: Plate effect, log antibody fluorescence), log(FS), log(SS), antibody fluorescence, FS, and SS values.
Importantly, the effects of storage and N were not significant (P < 0.05, F-tests) in the model so there are no fundamental shifts in acrylamide with respect to such factors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com