Key result
Categorizing continuous variables in clinical studies leads to information loss, requires >40% more patients for the same power, and can produce biased results compared to continuous analysis.
Design
Editorial
Authors
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Categorizing continuous variables in clinical research leads to information loss and potential bias, and should be avoided when developing risk stratification schemes.
Categorizing continuous variables in clinical research leads to information loss and potential bias, and should be avoided when developing risk stratification schemes.
Walraven et al. (2008) conducted an editorial in Atrial fibrillation. Categorization of continuous variables vs. Continuous analysis was evaluated. Categorizing continuous variables in clinical studies leads to information loss, requires >40% more patients for the same power, and can produce biased results compared to continuous analysis.
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