Author: Pei, Sen; Morone, Flaviano; Liljeros, Fredrik; Makse, Hernán; Shaman, Jeffrey L
Title: Inference and control of the nosocomial transmission of methicillin-resistant Staphylococcus aureus Document date: 2018_12_18
ID: 0dut9fjn_81
Snippet: To test the statistical significance of the power-law fitting, we generated 10 4 synthetic datasets using the fitted model, computed their KS statistic with respect to the model, and compared the obtained distribution with the KS statistic of the data in Figure 4 -figure supplement 1B. If the p-value of the observed KS statistic is close to 0, we reject the hypothesis that the data are generated from the fitted model; otherwise, the power-law fit.....
Document: To test the statistical significance of the power-law fitting, we generated 10 4 synthetic datasets using the fitted model, computed their KS statistic with respect to the model, and compared the obtained distribution with the KS statistic of the data in Figure 4 -figure supplement 1B. If the p-value of the observed KS statistic is close to 0, we reject the hypothesis that the data are generated from the fitted model; otherwise, the power-law fitting is statistically significant. This approach has been widely used in testing the statistical significance of power-law fitting (Clauset et al., 2009; Muchnik et al., 2013) . The 2-sided p-value for our data is 0.5374.
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