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Suppose that the investigators want to control for whether a subject is over 60 years old in the logistic model from part (g) above. Let the variable Over60 = 1 if a subject is over 60 and 0 otherwise. They fit a logistic model with both Finasteride and Over60 as the predictors and obtain the following: Coefficients: (Intercept) -1.88067 Finasteride Estimate Over60 -0.34736 1.32285 Std. Error 0.05075 0.05355 0.05589 z value -37.059 -6.486 23.670 Pr(>|z|) < 2e-16 8.79e-11 < 2e-16 *** *** *** What is the interpretation of the estimated odds ratio associated with the coefficient for the Over 60 predictor?

Suppose that the investigators want to control for whether a subject is over 60 years old in the logistic model from part (g) above. Let the variable Over60 = 1 if a subject is over 60 and 0 otherwise. They fit a logistic model with both Finasteride and Over60 as the predictors and obtain the following: Coefficients: (Intercept) -1.88067 Finasteride Estimate Over60 -0.34736 1.32285 Std. Error 0.05075 0.05355 0.05589 z value -37.059 -6.486 23.670 Pr(>|z|) < 2e-16 8.79e-11 < 2e-16 *** *** *** What is the interpretation of the estimated odds ratio associated with the coefficient for the Over 60 predictor?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Suppose that the investigators want to control for whether a subject is over 60 years old in the logistic model from part (g) above. Let the variable Over60 = 1 if a subject is over 60 and 0 otherwise. They fit a logistic model with both Finasteride and Over60 as the predictors and obtain the following: Coefficients: Estimate (Intercept) -1.88067 Finasteride -0.34736 Over60 1.32285 Std. Error 0.05075 0.05355 0.05589 z value -37.059 -6.486 23.670 Pr(>|z|) < 2e-16 8.79e-11 < 2e-16 *** Estimated odds ratio associated with the coefficient for the Over60 predictor: *** *** What is the interpretation of the estimated odds ratio associated with the coefficient for the Over 60 predictor? The odds of developing cancer among those 60 years old and older are those aged under 60 years, adjusting for Finasteride treatment group, using a 5% significance level. times
Transcribed Image Text:Suppose that the investigators want to control for whether a subject is over 60 years old in the logistic model from part (g) above. Let the variable Over60 = 1 if a subject is over 60 and 0 otherwise. They fit a logistic model with both Finasteride and Over60 as the predictors and obtain the following: Coefficients: Estimate (Intercept) -1.88067 Finasteride -0.34736 Over60 1.32285 Std. Error 0.05075 0.05355 0.05589 z value -37.059 -6.486 23.670 Pr(>|z|) < 2e-16 8.79e-11 < 2e-16 *** Estimated odds ratio associated with the coefficient for the Over60 predictor: *** *** What is the interpretation of the estimated odds ratio associated with the coefficient for the Over 60 predictor? The odds of developing cancer among those 60 years old and older are those aged under 60 years, adjusting for Finasteride treatment group, using a 5% significance level. times
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Suppose that you decide to fit a logistic regression model using these data.  Let Y = 1 if a subject develops cancer and 0 otherwise.  Let Finasteride = 1 if a subject received Finasteride and 0 if they received placebo.  The estimated logistic model is 

 

What is the value of ?

Suppose that you decide to fit a logistic regression model using these data. Let Y = 1 if a subject develops cancer and O otherwise. Let Finasteride = 1 if a subject received Finasteride and O if they received placebo. The estimated logistic model is logit (Â(Y = 1)) = −1.131 + ß * Finasteride What is the value of ?
Transcribed Image Text:Suppose that you decide to fit a logistic regression model using these data. Let Y = 1 if a subject develops cancer and O otherwise. Let Finasteride = 1 if a subject received Finasteride and O if they received placebo. The estimated logistic model is logit (Â(Y = 1)) = −1.131 + ß * Finasteride What is the value of ?
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