Reference no: EM132639684
You should analyse Framingham and write an analytical report which answers the following questions.
1. Describe the sample at the baseline exam. [Hint: Make sure you describe the all of the variables including demographic and clinical]
2. Is there an association between the use of anti-hypertensive medication at baseline and participant sex?
3. Is there an association between the use of anti-hypertensive medication at baseline and the education level of the participant?
4. Is there a difference in systolic blood pressure at baseline between participants with different education levels?
5. Is the difference between systolic and diastolic blood pressure at baseline the same for participants using anti-hypertensive medication and those not using anti-hypertensive medication?
6. In a multivariable model that predicts systolic blood pressure at baseline exam, how much variation is explained by age and body mass index? Which variable is most important? Describe how systolic blood pressure changes with age. Describe how systolic blood pressure changes with body mass index.
7. Develop the minimum model to explain variation in systolic blood pressure at baseline exam by considering the following variables: age, body mass index, sex, education level and anti-hypertensive medication use. When developing your minimum model you should also consider whether sex is an effect modifier of the relationship between systolic blood pressure and use of hypertensive medication.
8. Is there a change in the proportion of the sample who use anti-hypertensive medication between the baseline and follow-up examinations? If so, over what time period has this change occurred?
9. (Optional question) Is there any potential bias introduced into the follow-up data due to missing data? Explain your answer and provide evidence. Hint: are the participant demographic characteristics the same for those with and without data for the follow-up examination, and what impact may this have?
Learning Outcome 1: Discriminate the most appropriate descriptive and inferential statistics to use in a given health context,
Learning Outcome 2: Analyse health data using statistical software and interrogate the test assumptions, and
Learning Outcome 2: Interpret and communicate the results of computer-generated statistical analyses.
Attachment:- TASK.rar