Consider a Poisson regression model ln(µ/t)=a+b?(female)+ b?(age), where the outcome variable is the number of motorcycle accidents during the past 10 years. Using data from a national injury surveillance system, the following table results from performing the Poisson regression:
a. Compute an estimate for the adjusted rate ratio associated with gender.
b. Provide a 95% CI for the adjusted rate ratio.
c. Using the answers from (a) and (b), provide a summary conclusion.

Question

Consider a Poisson regression model ln(µ/t)=a+b?(female)+ b?(age), where the outcome variable is the number of motorcycle accidents during the past 10 years. Using data from a national injury surveillance system, the following table results from performing the Poisson regression:
  a. Compute an estimate for the adjusted rate ratio associated with gender.
b. Provide a 95% CI for the adjusted rate ratio.
c. Using the answers from (a) and (b), provide a summary conclusion.

Quizplus · Accepted Answer

The Answer of Consider a Poisson regression model ln(µ/t)=a+b?(female)+ b?(age), where the outcome variable is the number of motorcycle accidents during the past 10 years. Using data from a national injury surveillance system, the following table results from performing the Poisson regression:
  a. Compute an estimate for the adjusted rate ratio associated with gender.
b. Provide a 95% CI for the adjusted rate ratio.
c. Using the answers from (a) and (b), provide a summary conclusion.

Consider a Poisson Regression Model Ln(µ/t)=a+b?(female)+ B?(age), Where the Outcome