Search alternatives:
latent decrease » latency decreased (Expand Search), largest decrease (Expand Search), content decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
_ latent » _ late (Expand Search)
latent decrease » latency decreased (Expand Search), largest decrease (Expand Search), content decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
_ latent » _ late (Expand Search)
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Posterior distribution of the effect of the latent variable on the probability of seeking traditional remedies after a potential dog bite indicates a decreased likelihood of individuals seeking traditional remedies.
Published 2025“…<p>Posterior distribution of the effect of the latent variable on the probability of seeking traditional remedies after a potential dog bite indicates a decreased likelihood of individuals seeking traditional remedies.…”
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Transition probabilities and class sizes for three-step LTA model (N = 432).
Published 2025Subjects: -
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We compared the Fugl-Meyer (FMA) clinical assessment scores for individuals with stroke with their performance for each outcome measure.
Published 2024“…<p>FMA scores range from 0 (severe hemiparesis) to 66 (normal motor performance). We divided our individuals with stroke into subgroups based on a previously conducted cluster analysis that defined FMA > 53 as mild impairments (N = 13) and FMA < 53 as moderate to severe impairment (N = 7). …”
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Expected payoffs of <i>P</i><sub><i>x</i></sub>(<i>x</i>|<i>y</i>) in .
Published 2025“…However, there is a gap between theory and experiment in handling reputation information, with experiments often failing to capture the complexity that theoretical models propose. Here, we address two key issues: what kind of information is needed to define reputation as a social norm and the appropriate level of granularity required for reputation information to function effectively. …”