Course: Regression Models for Ordinal Outcomes
CME Credits: 1.00
Released: 2022-08-04
In the December 1, 2020, issue of JAMA, Self et al reported a randomized clinical trial that evaluated whether treatment with hydroxychloroquine improved clinical outcomes of adults hospitalized with COVID-19 compared with placebo. The primary outcome was the patient’s clinical status 14 days after randomization, assessed with an ordinal 7-category scale ranging from worst (“death”) to the best (“discharged from the hospital and able to perform normal activities”). The term “ordinal” is applied to an outcome measure for which its mutually exclusive categories can be ordered by their clinical preference. The primary outcome was analyzed with a multivariable ordinal logistic regression model, which is a regression model for an ordinal dependent variable. The authors found that there was not a statistically significant difference between the hydroxychloroquine and placebo groups in clinical status 14 days after randomization.
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