Barely Significant
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“may be significant”

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In the literature

Thus, use of downscaler output allows us to estimate exposures and health effects in nonurban locations, but the resulting health effect estimates should be interpreted with care because there may be significant differences in downscaler performance in urban versus less-urban locations.
Not all of them did and there may be significant differences between the analytic vs declined sample, tested using \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi }^{2}$$\end{document} χ 2 for binary variable and t tests for continuous variable (Table 3 ).