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Categorical data for different analysis groups were compared using the Chi-squared test or Fisher's exact test.
First, in 1990 the Census Bureau reworked the education question to account for highest degree for those with a college education and some categorical data for lower levels of education.
The Chi-squared test was used to test categorical data for associations.
Categorical data (for example, sex, ethnicity, stage, mutation frequency) were compared using a chi-squared test.
Categorical data for phagocyte clustering and dissemination were compared by two-tailed Fisher's exact test.
This highlights the greater power of continuous compared to categorical data for such analyses.
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We shall report frequencies and proportions for categorical data, and for continuous data, suggested bands as well as means (SD), medians and ranges.
Variables are expressed as percentages for categorical data and, for continuous data, as mean ± standard deviation if normally distributed and median (interquartile range) if skewed.
Data were explored initially using basic frequencies for categorical data and means for continuous data.
We applied categorical data analysis for testing the relationship between Osteopontin and a clinical variable.
We used Pearson's Chi-square test for categorical data, and ANOVA for comparison of group means.
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