****Project Component 5**** details: This component has three parts. Only one person per team should submit Project Component 5. You will be given a score of 0 or 1. If you get a score of 1, I have no issues with Project Component 5 and you can move on. If you get a score of 0, you will need to resubmit your Project Component 5 and fix any issues that I have highlighted. Execute a multivariable regression analysis to address confounding using an appropriate statistical model. Select confounders based on your assessment of Table 1 and basic working knowledge of the risk factors for your outcome. Report the adjusted difference in means or relative measure of association and 95% confidence interval in Table 3. Describe these results in the write-up, including a full interpretation of the adjusted measure of association. (Results section) Identify at least 2 potential sources of bias in this study, and describe why they may cause bias in your study. Describe the direction of each bias: towards or away from the null. (Discussion/Conclusions section) Describe two limitations of this study and/or data analysis. Comment on whether the results from your data analysis are generalizable (externally valid) and to what other populations. Briefly comment on the implications of your data analysis on public health policy or practice. (Discussion/Conclusions section) ****Problem set 11****: Questions are in the assignment. Please let me know if you have any questions. Best, Michaelle
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