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However, on a (tracer) study level, this did not affect the model preference for that tracer.
A figure on model preference for simulated TACs of increasing specific binding and noise levels.
Fig. 2 Model preference for different regions based on AIC values.
Additional file 1: Visualization of VOI for the typical images displayed in Fig. 1. (PDF 3910 kb) Additional file 2: Model preference for [18F]HX4 kinetics in various tissues according to AIC, based on 4.5 h dynamic PET data.
The purpose of the present study was to evaluate the similarity and/or difference in model preference for several commonly used criteria: Akaike Information Criterion (AIC) [6], [1], AIC unbiased (AICC) [7], [2], Model Selection Criterion MSCC) [8], [3], Schwartz Criterion (SC) [9], [4], and finally validate them against the F-test [10], [5].
However, the model preference for the predictor vessel type suggested that the spatial patterns were more complex than individual latitudinal, longitudinal, or STF gradients.
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AIC and MSC gave exactly the same model preferences for all the tracers studied.
In this article, we use the example of primary care in Australia as a vehicle to examine the concept of 'consumer preference' from different perspectives within economics and discuss the significance of how we model preferences for health policy makers.
In particular, one can appreciate the crucial consequences of accepting prior information that affects model preferences for providing highest probability values.
The purpose of this study was to evaluate the correspondence in kinetic model preference identification for brain PET studies among five model selection criteria: Akaike Information Criterion (AIC), AIC unbiased (AICC), model selection criterion (MSC), Schwartz Criterion (SC), and F-test.
Model preference was assessed for the noiseless TACs, as well as for the different noise levels.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com