The hypothesis that men in high stress jobs have an increased risk of developing coronary heart disease was tested during an 18-year follow-up study from 2000-2017 of a group of 8,000 men of Japanese ancestry in Hawaii. Of the 4,500 men with higher stress jobs, 3,000 of them developed CHD; of the 3,500 men with lower stress jobs, 1,800 of them developed CHD. All 8,000 men completed the CHD examination at the end of study, 3,200 were free of prevalent coronary heart disease (CHD), while 4,800 had incident CHD (there was no loss to follow up). Disease Have CHD No CHD Exposed ( high stress jobs) 3000 1500 4500 Not exposed (low stress jobs) 1800 1700 3500 Calculate the risk ratio for developing CHD for the high stress group as compared to the low stress group:
Author: Anonymous
Refer to the Material and Methods paragraph in the article b…
Refer to the Material and Methods paragraph in the article by Turati and Bravi (2018). What type of epidemiologic design was used in this research?
20) Refer to the Methods Paragraph in the article by Chen an…
20) Refer to the Methods Paragraph in the article by Chen and Revere (2019). Which of the following is NOT the outcome of interest in this research?
A population of 1000 adults who did not have congestive hear…
A population of 1000 adults who did not have congestive heart failure on January 1, 2009 was followed over the next 10 years. During this time period 50 of these adults developed congestive heart failure and 30 of these 50 adults died from congestive heart failure. The fatality rate for congestive heart failure cases during 10 years should be calculated as:
12) For the following research scenario, select the most app…
12) For the following research scenario, select the most appropriate test method. A randomized controlled trial of nursing skills test found that the mean score on the skills test was 3.508 among 20 nurses who were in the new educational program, whereas 20 nurses in the traditional program had a mean score of 3.027. The researchers want to know whether the mean test scores of the two groups are equal or not. What is the most appropriate statistical method to test the hypothesis?
12) For the following research scenario, select the most app…
12) For the following research scenario, select the most appropriate test method. A randomized controlled trial of nursing skills test found that the mean score on the skills test was 3.508 among 20 nurses who were in the new educational program, whereas 20 nurses in the traditional program had a mean score of 3.027. The researchers want to know whether the mean test scores of the two groups are equal or not. What is the most appropriate statistical method to test the hypothesis?
23) Refer to the Table 3 in the article by Chen and Revere (…
23) Refer to the Table 3 in the article by Chen and Revere (2019). Which of the following clinical outcomes have statistical differences between academic and nonacademic hospitals at 0.001 significance level?
8) Are wealthier people happier? A research study made by No…
8) Are wealthier people happier? A research study made by Northern Illinois University College of Education used an existing data set with 959 participants in the New York City. Simple linear regression analysis is applied to confirm the association between income and happiness. The study shows that there is statistically significant correlation between income and happiness, however, the relationship is really weak. The equation of happiness and income is: Ŷhappiness = 3.567 + 0.306 * income + 0.86. Select the following statements which you believe to be true:
Refer to the ResultsParagraph and Table 1 in the article by…
Refer to the ResultsParagraph and Table 1 in the article by Turati and Bravi (2018). Which of the following statement is true?
A study of the sedentary behaviors as a risk factor for brea…
A study of the sedentary behaviors as a risk factor for breast cancer found that the relative risk of breast cancer over 15 years for women classified as sedentary compared with women classified as physically active was 3.0. Assuming that important confounding variables were controlled, the correct interpretation of this finding is that women who are sedentary compared with those who are active: