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Pearson Chi Squared tests were used to examine differences between groups (for example clinicians practicing in different settings) in the proportion of respondents giving different choices of gestational prolongation required to change practice.
For the lesioning experiments, t-tests were used to examine differences between groups.
Two independent-sample t-tests were used to examine differences between groups (95% CI, 2-sided).
One-way ANOVAs and chi square analyses were used to examine differences between groups (e.g., gender).
Statistical analyses were conducted to examine differences between groups in terms of the factors mentioned above using a t-test or chi-square test as appropriate.
Since most of the continuous variables were skewed in distribution, we also used the non-parametric Mann–Whitney U-test or Kruskal-Wallis test to examine differences between groups.
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For in situ zymography in the corpus striatum, one-way ANOVA with an LSD post-hoc test was used to examine differences between group means.
Regression analysis was performed to examine differences between group scores.
The Mann–Whitney U-test examined differences between groups.
A two-way repeated-measure analysis of variance (ANOVA) examined differences between groups and over time.
When examining differences within groups, time served as the independent variable; when examining differences between groups, group served as the independent variable.
More suggestions(9)
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examine differences between population
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examine differences between clustered
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