HLTH 503 Quiz Absolute and Relative Effects (Liberty University)

Correct answers are hidden. Score for this quiz: 71.25 out of 75 Submitted Feb 17 at 10:37am This attempt took 20 minutes. Question 1 3.75 / 3.75 pts True or False? The term attributable risk is defined as the ratio of the incidence of a disease among exposed individuals to the incidence among non-exposed individuals. True False Question 2 3.75 / 3.75 pts The death rate per 100,000 for lung cancer is 7 among non-smokers and 71 among smokers. The death rate per 100,000 for coronary thrombosis is 422 among non-smokers and 599 among smokers. The prevalence of smoking in the population is 55%. Among smokers, the etiologic fraction of disease due to smoking is: 0.90 for lung cancer and 0.88 for coronary thrombosis. 0.90 for lung cancer and 0.29 for coronary thrombosis. 0.89 for lung cancer and 0.88 for coronary thrombosis. 0.89 for lung cancer and 0.29 for coronary thrombosis. cannot be determined from the information provided. Question 3 3.75 / 3.75 pts The death rate per 100,000 for lung cancer is 7 among non-smokers and 71 among smokers. The death rate per 100,000 for coronary thrombosis is 422 among non-smokers and 599 among smokers. The prevalence of smoking in the population is 55%. On the basis of the relative risk and etiologic fractions associated with smoking for lung cancer and coronary thrombosis, which of the following statements is most likely to be correct? Smoking seems much more likely to be causally related to coronary thrombosis than to lung cancer. Smoking seems much more likely to be causally related to lung cancer than to coronary thrombosis. Smoking seems to be equally causally related to lung cancer and coronary thrombosis. Smoking does not seem to be causally related to either lung cancer or coronary thrombosis. No comparative statement is possible between smoking and lung cancer or coronary thrombosis. Question 4 3.75 / 3.75 pts When assessing a positive relationship between alcohol consumption and oral cancer using a case-control study, increasing the sample size of the study will result in which of the following? i. A lower p value ii. A greater odds ratio iii. A smaller 95% confidence interval iv. A higher disease prevalence Circle the best response.