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Logistic Regression and Odds Ratio

Logistic Regression and odds Ratio A. Chang 1 odds Ratio Review Let p1 be the probability of success in row 1 (probability of Brain Tumor in row 1) 1 p1 is the probability of not success in row 1 (probability of no Brain Tumor in row 1) Odd of getting disease for the people who were exposed to the risk factor: (1 p is an estimate of p1) O+ = Let p0 be the probability of success in row 2 (probability of Brain Tumor in row 2) 1 p0 is the probability of not success in row 2 (probability of no Brain Tumor in row 2) Odd of getting disease for the people who were not exposed to the risk factor: (0 p is an estimate of p0) O = The odds Ratio of having brain tumor for people who were exposed to the risk factor versus not exposed: Interpretation: The odds of having brain tumor are times higher for

Logistic Regression and Odds Ratio A. Chang 1 Odds Ratio Review Let p1 be the probability of success in row 1 (probability of Brain Tumor in row 1) 1 − p1 is the probability of not success in row 1 (probability of no Brain Tumor in row 1) Odd of getting disease for the people who were exposed to the risk factor: ( pˆ1 is an estimate of p1) O+ = Let p0 be the probability of success …

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