Barely Significant
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Time-for-space substitution in N-mixture models for estimating population trends: a simulation-based evaluation.

Sci Rep · 2021 · PMC7907346 · PMID 33633209

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hedged sentences
0.0010
closest p · 0.0× alpha
0.0010
boldest claim

The sentences

highly significantp < 0.001actually significant
6 , and the correlation between them was weak but highly significant (Spearman’s rho = 0.39; p < 0.001).

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a negative trendno p-value reported
As already observed for T-error, also N-error was higher in populations experiencing a negative trend, rather than population with a positive or constant dynamic (Fig. 2 ).

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