A multidisciplinary oncology tumor board is establishing a new clinical registry to track patient outcomes, toxicities, and demographics for a novel targeted therapy protocol. To ensure proper subsequent statistical analysis, the data managers must accurately classify each collected variable. Match the following clinical variables from the registry to their most appropriate statistical data type.
- Tumor response category (Complete response, Partial response, Stable disease, Progressive disease)Ordinal categorical data
- Progression-free survival time measured in exact daysContinuous numerical data
- Number of hospital admissions due to adverse events per patientDiscrete numerical data
- ABO blood group of the patientNominal categorical data
Cevap
Tumor response matches to Ordinal categorical data; Progression-free survival matches to Continuous numerical data; Number of hospital admissions matches to Discrete numerical data; ABO blood group matches to Nominal categorical data.
Accurate variable classification dictates statistical test selection. Nominal data involves unranked categories, ordinal data involves ranked categories, discrete data involves integer counts, and continuous data involves measurements on an uninterrupted scale.
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Anahtar Kavram
Variables in clinical research must be correctly identified as categorical (nominal, ordinal) or numerical (discrete, continuous) to determine the appropriate statistical tests for subsequent data analysis.