categorical variables

categorical variables

Qualitative variables, variables that cannot meaningfully be expressed in numbers. eg. skin colour.
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All categorical variables like gender, residence, diseases and different characteristics of people were presented as frequencies and percentages.
Adjusted models control for maternal age (continuous), body mass index (BMI) (continuous), race/ethnicity (black/Asian/other, white/Caucasian), year of IVF treatment cycle (continuous), and primary Society for Assisted Reproductive Technology (SART) infertility diagnosis at study entry (female, male, unknown), with continuous variables at their mean level and categorical variables weighted by their frequency in the study population.
Continuous variables are expressed as mean + standard deviation, whereas categorical variables are displayed as numbers and percentages.
Categorical variables were presented as numbers and percentages; Pearson's Chi-square test was applied to examine differences between the groups.
Categorical variables were summarised using frequencies and percentages.
Percentages and frequencies were calculated for categorical variables.
Mean and SD for numeric whereas frequency and percentages were calculated for categorical variables descriptively.
Assuming familiarity with ICD-9-CD and CPT coding, the textbook explains the different types of data used in healthcare organizations and introduces basic concepts for analyzing categorical variables, continuous variables, the relationship between two variables, diagnosis-related groups data, average cost per RVU, and externally reported data.
Mean SD were used for quantitative and Frequencies and percentages were used for categorical variables.
The normally distributed continuous variables were presented as mean [+ or -] standard deviation and categorical variables as number and percentages.