In this blog you will find the correct answer of the Coursera quiz Epidemiology: The Basic Science of Public Health 4 mixsaver always try to bring the best blogs and best coupon codes
 

 

Week- 4

Module 4 Quiz

 

1. Interpret the meaning of one study’s reported odds ratio of 1.6 (95% CI 1.1, 3.4) for the association between high level of fish oil consumption and prostate cancer.

 

  • Cases are more likely than controls to have a high level of consumption of fish oil, but it is not statistically significant.
  • There is no association between fish oil intake and prostate cancer.
  • Cases are statistically significantly more likely than controls to have a high level of consumption of fish oil.
  • Fish oil is protective against prostate cancer.

2. Interpret the meaning of an odds ratio of 1.00 for the association between consumption of fish oil and prostate cancer.

 

  • Cases are more likely than controls to have a high level of consumption of fish oil.
  • Fish oil is protective against prostate cancer.
  • There is no association between fish oil intake and prostate cancer.

3. True or false: both a prevalence ratio and a prevalence difference are considered measures of occurrence.

 

  • True
  • False

4. True or false: both a risk ratio and a risk difference are considered measures of disease occurrence.

 

  • False
  • True

5. True or false: The term “relative risk” is the most precise term to use when discussing measures of association.

 

  • False
  • True

6. True or false: The term “relative risk” is sometimes used to refer to any of the ratio measures of association.

 

  • True
  • False

7. Which of the following are ratio measures used in epidemiology? (You must choose all that apply to receive credit for this question; no partial credit will be awarded.)

 

  • rate ratio
  • odds ratio
  • risk ratio
  • prevalence ratio
  • occurrence ratio

8. True or false: It is best to use a difference measure when trying to understand the cause or etiology of a health outcome or disease.

 

  • True
  • False

9. True or false: When a ratio measure is less than 1 it means the prevalence, risk or rate in the exposed is greater than in the unexposed group.

 

  • True
  • False

10. True or false: When a ratio measure is greater than 1 it means the prevalence, risk or rate in the exposed is greater than in the unexposed group.

 

  • True
  • False

11. Which of the following is true about a ratio measure that equals 1.0?

 

  • there is an inverse association between the exposure and the health outcome
  • there is a direct association between the exposure and the health outcome
  • there is no association between the exposure and the health outcome
  • there is a small association between the exposure and the health outcome

12. Which of the following is true about a ratio measure is greater than 1.0?

 

  • there is a possible causal association between the exposure and the health outcome
  • there is no association between the exposure and the health outcome
  • there is a large association between the exposure and the health outcome
  • there is an inverse association between the exposure and the health outcome

13. Which of the following is true about a ratio measure that is less than 1.0?

 

  • there is a possible protective association between the exposure and the health outcome
  • there is no association between the exposure and the health outcome
  • there is a large association between the exposure and the health outcome
  • there is a positive association between the exposure and the health outcome

14. True or false: A ratio measure of association expresses the prevalence, risk or rate among exposed in excess of that among the unexposed or less-exposed.

 

  • True
  • False

15. True or false: A difference measure treats the prevalence, risk or rate of the health outcome among the unexposed group as a “background” prevalence, risk or rate.

 

  • False
  • True

16. Which of the following is true about a difference measure that is less than 0?

 

  • there is a large association between the exposure and the health outcome
  • there is no association between the exposure and the health outcome
  • there is a positive association between the exposure and the health outcome
  • there is a possible protective association between the exposure and the health outcome

17. True or false: The null value used when interpreting a difference measure is 0.

 

  • True
  • False

18. Interpret the meaning of one study’s reported rate ratio of 0.5 (95% CI 0.2, 0.9) for the association between high level of Vitamin D consumption and breast cancer incidence.

 

  • High Vitamin D consumption is associated with an increased breast cancer rate.
  • There is no association between high Vitamin D consumption and breast cancer rates.
  • Those who consume a high level of Vitamin D are less likely than those who consume little or Vitamin D, to have a high rate of breast cancer incidence, but it is not statistically significant.
  • Those who consume a high level of Vitamin D are statistically significantly less likely than those who consume low or no Vitamin D, to have a high rate of breast cancer incidence.

 

 

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