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Chi-square tests evaluated differences between age groups and characteristics of observed interactions.
In trying to narrow down what those influences might be, Hinshaw evaluated differences between diagnostic tools, types of health insurance, cultural values and public perceptions of mental illness.
In the second model, we evaluated differences between the estimates using the minimum amount of overlap between consecutive surveys.
METHODS:Using the Get With The Guidelines (GWTG -HF ReGWTG -HFinked to CenteRegistryedicare & Medicaid Services clinkeddato, we evaluated differenCenters for Medicare & Medicaid Services diabetes.
We evaluated differences between the two study groups using the χ2 test and Fisher exact test for categorical data and the Student t-test and Mann–Whitney U test for continuous data, according to whether data were normally distributed.
We evaluated differences between groups by one-way analysis of variance.
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To evaluate differences between different dose levels, we implemented a 2-step IPTW MSM scheme.
Similarity (f1) and dissimilarity (f2) factors were calculated to statistically evaluate differences between perturbed and normal dissolution tests.
Two-tailed T-tests were employed to evaluate differences between normally distributed data (Kolmogorov-Smirnov test), and Ranksum test or two-tailed Kruskal-Wallis test were used for nonparametric evaluations.
Based on the log2-tramsformed normalized intensity values, unpaired Student's t-tests (two-tailed, equal variance) was applied to evaluate differences between the means of P38α+/− and P38α−/− samples.
One-way ANOVA tests using post hoc Bonferroni test were performed to evaluate differences between subgroups.
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