A study investigated the effects of oral contraceptive (OC) use on heart disease in women 40 to 44 years of age. The results are displayed in the following contingency table Developed Myocardial Infarction | Did Not Develop Myocardial Infarction OC Users: 16 | 4984 Non-OC Users: 9 | 9991 a. Calculate the odds ratio for the sample data. (5 points) b. Construct a 95% confidence interval for the population odds ratio. (15 points) c. Explain the confidence interval to a patient. Include your opinion on whether myocardial infarction should be a concern as a side effect. (10 points)
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To calculate the odds ratio, we need to use the formula: Odds ratio = (ad/bc) Where a is the number of OC users who developed myocardial infarction (16), b is the number of non-OC users who developed myocardial infarction (4984), c is the number of OC users who Show moreā¦
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A study was conducted to determine the effect of oral contractive (OC) use on heart disease risk in 40- to 44-year-old women (fictitious data). This study found 130 new cases of myocardial infarction among 7000 non-OC users followed for 2000 person years. In contrast, among 10,000 OC users followed for 2800 person years, 70 developed a first myocardial infarction. Calculate the Risk Ratio. (5 pts) 2.653 0.769 1.476 0.377
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Researchers wanted to test the hypothesis of an association between recent contraceptive use (OC) and myocardial infarction (MI). They conducted an observational study of 234 patients who had experienced an MI and 1742 control patients without MI among those who reported recent oral contraceptive use or not. Among those with recent OC use, 29 had experienced an MI and 135 had not experienced an MI. Use a 2 x 2 table to estimate the appropriate measure of association for this study. Include the leading digit before the decimal and round to 3 decimal places. Odds of OC use among those with MI are_________ Odds of OC use among those without MI are_________ The Odds Ratio is_________
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Medical researchers believe that among women who use oral contraceptives, fifteen percent have high blood pressure, whereas only ten percent of women who do not use oral contraceptives have high blood pressure. Suppose a random sample of size 625 is selected from the population of women who use oral contraceptives and a random sample of size 400 is selected from the population of women who do not use oral contraceptives. Find the probability that the proportion of women with high blood pressure in the sample of oral contraceptive users will exceed the corresponding proportion in the other sample by 0.1. a. 0.007126 b. 0.007436 c. 0.007622 d. 0.007858 e. 0.008044
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