Odds ratios can be hard to explain to a non-statistical audience. Suppose you are a perinatal epidemiologist and you run a logistic regression on live births at a certain hospital.
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Get it written →Odds ratios can be hard to explain to a non-statistical audience. Suppose you are a perinatal epidemiologist and you run a logistic regression on live births at a certain hospital. Your outcome of interest is cesarean section, and the outcome is coded in the model as 1 if the birth was a cesarean delivery and 0 otherwise. The predictors in the model are gestational age (length of the pregnancy) in weeks, and total dosage of pitocin, in units of 100 mU. Suppose the estimated coefficient for pitocin dosage is .1. How would you explain this result to a non-statistical audience? Do you think there are numerical summaries other than the odds ratio which would be easier to understand?
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