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The odds ratio ("e" to the power of the relevant estimated coefficient) and 95% confidence interval are listed for each explanatory variable; testing the odds ratio against one is equivalent to testing the significance against zero of the untransformed coefficient in the logistic regression.
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In order to measure the strength of the associations tested, the odds ratio (OR) (with 95% confidence interval (CI)) was calculated.
Univariate logistic regression models tested the odds of having celiac disease while being underweight or being overweight.
Univariate and multivariate logistic regression models tested the odds of a low HRQoL score among children with undetected or diagnosed celiac disease compared to children without celiac disease.
Mean values with standard deviations (mean ± SD) were compared, and uni- and multivariate logistic regression models tested the odds of a low HRQoL among children with undetected or diagnosed celiac disease, respectively.
The commonly-used procedures for testing the homogeneity of odds ratio (OR) is shown to be applicable for testing whether there is an interaction between treatments and periods.
Accordingly we recommend that the simpler Breslow-Day test be used routinely for testing the homogeneity of odds ratios.
Test of parallel lines was undertaken to test the proportional odds assumption.
The score test is a common way to test the proportional odds assumption.
We tested the proportional odds assumption for the regression model and found no indication of violation.
The odds of testing the herd for MAP and enrolling in a control program were lower for commercial cow-calf herds compared to other producer types.
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