Socio-Economic Predictors and Distribution of Tuberculosis Incidence in Beijing, China: A Study Using a Combination of Spatial Statistics and GIS Technology.

Med Sci (Basel) · 2018 · PMC6024827 · PMID 29561814

Europe PMC DOI

hedged sentence

0.8460

closest p · 16.9× alpha

0.8460

boldest claim

The sentences

highly significantp > 0.846not close (p > 0.1)

As for TB, both the LM lag and LM error test statistics including Moran’s I and LM (SHRMA) tests were highly significant in both weights matrices, except for the robust LM lag (0.0375, p > 0.846), indicating that there a strong spatial dependence existed.

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