Question

8. In Chapter 16, the Mantel-Haenszel method was used to investigate the association between smoking and the development of aortic stenosis for males and females. The data are contained in the data set stenosis [6] (Appendix B, Table B.20) Smoking status is saved under the variable name smoke, the presence of aortic stenosis under the name disease, and gender under the name sex. (a) Using the presence of aortic stenosis as the response, fit a logistic regression model with smoking status as the single explanatory variable. Interpret the es timated coefficient of smoking status. who smoke relative to those who do not? interval contain the value 1? What does this tell you? (b) What are the estimated odds of suffering from aortic stenosis for individuals (c) Construct a 95% confidence interval for the population odds ratio. Does this (d) Add the explanatory variable gender to the model that already contains smok- ing status. What is the estimated relative odds of aortic stenosis for smokers versus nonsmokers, adjusting for gender? (e) Construct a 95% confidence interval for the population odds ratio that adjusts for gender. What do you conclude?

Answer 1

Answer:

Given that:

米Solution: 0,856 and O and no the Smoke oe 1-5 tines mole likely to cle vetop

fiffer bloesand non moreS tufh Yesped to develop aecttc stenosts → Rerembes.ttcît EveYthing in The tr teit al Îㅅ (Nngit n to te StrtiStratty Afro.lat tot.町 ←by SrYC义ell ron.cnckel, adjuntfr946ょ VeðSLLI