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Table 3 shows the resulting odds ratios and the corresponding 95%% confidence intervals for each feature.
For instance, if the predictive probability of repetition was 0.917 at a school with 100% repeaters and the predictive probability was 0.049 at a school with 0% of repeaters, the resulting odds ratio would be 214.
Resulting odds ratios were accompanied with 95% confidence intervals.
We calculated 95% confidence intervals around the resulting odds ratios (OR).
The resulting odds ratios are presented with corresponding 95% confidence intervals (CI).
The resulting odds ratio and its 95% confidence interval (CI), along with the P value, were computed.
Similar(26)
Potential risk factors were entered to a stepwise conditional binary regression analysis and the resulted odds ratios with 95% confidence intervals were reported.
Potential risk factors were entered to a multivariate binary logistic regression analysis and the resulted odds ratios with 95% confidence intervals were reported.
As the binary index of exposure does not capture the actual dispersion profiles, the resulted odds ratios provided only a simple risk stratification.
The resulting adjusted odds ratios for viral serology are presented in Table 6.
Analyses with hospital mortality as the outcome parameter showed similar results (odds ratio of severe hyperchloremia versus normochloremia 1.46; 95 % CI 1.14 1.96; p = 0.003), although also hypochloremia and high SIDa showed a negative association.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com