Reference no: EM133308395

QUESTION 1

Suppose we have a matched study design where subjects are matched on age, sex, and presence or absence of diabetes. The exposure of interest is red meat consumption. What is the purpose of matching?

A To control for red meat consumption as a confounder for the relationships between age, sex, and diabetes and the outcome

B To understand the potentially complex or nonlinear effects of age, sex, and diabetes on the outcome

C To establish the relationships between age, sex, and diabetes and red meat consumption

D To control for the potentially complex or nonlinear effects of age, sex, and diabetes on the outcome and eliminate their effect as confounders

QUESTION 2

In a logistic regression analysis of a matched pair case-control study

A We can use the estimated odds ratios to understand the relstionship between the exposure and the outcome in the population

B We can use the estimated probability of the outcome to understand the proportion of cases in the population

C We can estimate the relationship between the matching variables and the outcome

D all of the above

QUESTION 3

A conditional logistic regression model can be sued to analyze

A a Kaplan-Meier curve

B a matched pair study design

C a non-normal continuous outcome