A critical care research network is designing a prospective database to evaluate outcomes in patients admitted with severe sepsis. The investigators are mapping out their data analysis plan and must correctly identify the statistical nature of each variable to ensure appropriate descriptive statistics and hypothesis tests are selected. Match each collected clinical variable with its correct statistical data classification.
- APACHE II score quartiles (Q1, Q2, Q3, Q4)Ordinal categorical data
- Core body temperature upon admission (in degrees Celsius)Continuous quantitative data
- Number of distinct vasopressor agents administeredDiscrete quantitative data
- Primary anatomical site of infection (pulmonary, urinary, gastrointestinal)Nominal categorical data
Cevap
APACHE II score quartiles matches ordinal categorical data; Core body temperature matches continuous quantitative data; Number of distinct vasopressor agents administered matches discrete quantitative data; Primary anatomical site of infection matches nominal categorical data.
Appropriate selection of statistical tests depends on the underlying data type. Variables are first divided into qualitative (categorical) and quantitative (numerical) groups. Categorical data is further defined as nominal (no inherent order) or ordinal (inherently ordered). Numerical data is defined as discrete (counted, whole numbers) or continuous (measured, fractions allowed).
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Anahtar Kavram
Classification of Clinical Data Types