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