Effects of confounding factors in a statistical analysis


Assignment:

Q1. One of the assumptions of one-sample t-test is that the dependent variable and the independent variable must be continuous (interval/ratio).

A. True

B. False

C. None of the above choices

Q2. One of the requirements of for using independent samples t-test is that the dependent variable must be a quantitative or interval variable, and the dependent variable a categorical variable with no more than two categories.

A. True

B. False

C. None of the above choices

Q3. In epidemiological research, which of the following types of assessment allows us to measure both the direct and indirect effects of an exposure on an outcome?

A. Effect modification

B. Confounding

C. Interaction

D. Mediation

Q4. Simple linear regression model helps to adjust out the effects of confounding factors in a statistical analysis.

A. True

B. False

C. None of the above choices

Q5. In a multiple linear regression analysis with X1 and X2 variables, the slope for variable X1 predicts change in Y per unit X1, holding X2 constant.

A. True

B. False

C. None of the above choices

Q6. A categorical explanatory (independent) variable with three or more categories can be fit into a regression model by converted it into "dummy variables".

A. True

B. False

C. None of the above choices

Q7. When stratified odds ratios are very close to 1.0, it suggests that the crude association can be explained by the confounding effect.

A. True

B. False

C. None of the above choices

Q8. A researcher wanted to assess the prevalence of a disease in a population. What is the most appropriate study design would you recommend?

A. Case-Control study

B. Case report

C. Ecological

D. Cross-sectional

Q9. You are interested in testing if there is an association between marital status (married vs. never married) and BMI (quantitative). Which of the following is the most appropriate statistical test that you will you use?

A. One-sample T-test

B. Independent Sample t-test

C. Chi Square test

D. None of the above

Q10. A potential strength of case-control study is that we can use it to estimate the incidence of a disease.

A. True

B. False

C. None of the above

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