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Some of his catchy research topics were whether models that look like the girl-next-door might be better than Kate Moss, the effects of messiness (also a topic Stapel explored), and whether death-related media stories might make consumers prefer domestic brands.
Future studies should investigate alternative models of multisensory perception [46], [69], [70] to examine whether models that do not a priori assume integration across sensory modalities can better account for multisensory interactions in time perception.
Specifically, the authors' need to address the question of whether models that were trained on a set of input output pairs generalize to an equivalent set of pairs that were not in the original training set.
To this aim, we tested whether models that allow d N/d S to vary along branches had significant better fit than models that assume one same d N/d S across the entire phylogeny (Yang and Nielsen 1998).
For example, because excess long-range LD is a signature of ancient admixture (e.g., Plagnol and Wall 2006), incorporation of LD statistics would be useful for assessing whether models that include archaic admixture provide a better fit to observed human genetic variation than models that do not consider admixture.
To this aim, we tested whether models that allow d N/d S to vary along branches had significant better fit to the ALB data than models that assume one same d N/d S across the entire phylogeny (Yang and Nielsen 1998).
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In particular, it would be desirable to clarify whether simpler models that are capable to show chaos as well as limit-cycle oscillations display similar correlations between sensitivity and Lyapunov exponents in these different regimes.
We analyzed programmatic data collected in Lima, Peru, about TB patients who were receiving DST to assess whether predictive models that include information about time and location could improve prediction of risk for MDR TB.
Given the possibility of shifting the focus of a community investigation from species to genes (or functions, however defined), it may be worth investigating whether metacommunity models that were originally developed with taxonomic units in mind can be equally well applied to sets of genes (Fig. 5b).
Comparing the likelihood of these estimates via a Likelihood Ratio Test (LRT) determines whether a model that considers positive selection fits the data better than one assuming neutral or purifying selection.
However, this evidence is insufficient to determine whether timber market models that rely on conventional timber supply specifications will suffer from significant forecasting biases.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com