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Mixed-effect logistic regression models enabled the correlations between repeated measures to be taken into account.
Additionally, these humanized models enabled the first identification of pathogenic epitopes in human disease.
By treating the same xenograft multiple times, these mouse models enabled the assessment of an average response.
However, in the absence of statistical heterogeneity, the results of the fixed effect and random effect models should be virtually identical, and the comparison of results obtained by applying both the Mantel–Haenszel and DerSimonian Laird models enabled the exploration of sources of heterogeneity despite this low statistical power.
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Calculations based on existing wing-crack models enable the estimation of the grain-boundary cohesive energies.
This feature of SOC models enables the simulation of fading channels having symmetrical and asymmetrical DPSDs [23 26].
The comparison of models enables the identification of possible sources of uncertainty in hydrological modelling of a tropical catchment.
The models enable the recipients to investigate the CP and analyze information contained in their security elements in order to accept trusted CP and discard false CP.
Systematic and comprehensive reformulation of analytical models enables the comparison of experimental times between different test methods.
Although limited by anthropomorphism, animal models enable the relatively selective investigation of behavioural endophenotypes.
Mixture models enable the disentanglement of frequency and timing in competing risks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com