I have a logistic regression model obtained in R comparing association between two index diagnoses (0 or 1) with
Age (continuous) +
Sex (Factor) +
Renal.Fn (continuous). My variable of interest is
model <- glm(diagnosis ~ Age + Sex + Renal.Fn, data = data, family = "binomial")
Currently to obtain Odds Ratio:
exp(coef(model)) # Renal.Fn 0.9884664 exp(confint(model))[] # Renal.Fn 0.9848022 0.9920815
My interpretation: Per unit increase in renal function the odds of diagnosis of interest reduces.
I wish to demonstrate the opposite. For example: Per unit decrease in renal function, the odds of diagnosis increases.
- Is it correct to take
1 / exp(coef)to derive the odds per unit decrease?
- Is it subsequently correct to take
1/exp(coef) ^10to derive odds per ten unit decrease?