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Odds ratio — interpret and derive.

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Answer

  • Odds = p / (1 - p).
  • Odds ratio (OR)  =  oddsA  /  oddsB(\mathrm{OR})\; = \;\mathrm{odds}_{A}\; / \;\mathrm{odds}_{B}.
  • In logistic regression, log(odds)  =  x\operatorname{log}(\mathrm{odds})\; = \;x'β → exp(βj)\operatorname{exp}({\beta}_{j}) is the multiplicative change in odds for a 1-unit increase in xjx_{j} (holding others fixed).
  • OR > 1: positive association; OR = 1: no association; OR < 1: negative.
  • Not a ratio of probabilities.
  • For rare outcomes, OR ≈ relative risk; for common outcomes, OR overstates RR.
Check yourself — multiple choice
  • Ratio of p
  • Odds = p/(1-p); OR = ratio of odds; exp(βj)\operatorname{exp}({\beta}_{j}) in logistic = OR per unit Δxj{\Delta}x_{j}; ≈ RR for rare events, overstates RR otherwise
  • Same as probability
  • Random

OR  =  exp(βj)\mathrm{OR}\; = \;\operatorname{exp}({\beta}_{j}) in logistic; ratio of odds; ≈ RR for rare events.

#regression#glm

Practise Statistics Fundamentals

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