Using a SAS data-step and creating new variables as needed and running common SAS procedures answer the following questions:
1. How many participants are on the dataset tomhsf? How many variables are on the dataset?
2. How many and what percent of participants are female?
3. How many and what percent of participants were assigned active BP treatment, assigned
placebo?
4. How many and what percent of participants are black race (African American)?
5. How many and what percent of participants are both black race and female?
6. How many and what percentage of participants are current smokers? How many and what
percentage of participants are ex-smokers?
7. How many and what percentage of participants are diabetic at baseline (Have a serum glucose of 126 or higher)?
8. How many and what percentage of participants missed their 12-month visit (Use the variable
sbp12 are an indicator for whether the visit was attended or not)?
9. Use proc freq and a chi-square analysis to determine if missing the 12-month visit was related to a) gender; b) race; c) current smoking; and d) active vs placebo treatment.
10. Using proc logist determine if active treatment lowered the risk of CVD (variable clinical). Is
the odds ratio significantly different from one?
11. Compute the mean HDL-C for these four subgroups: 1) AA Men; 2) AA Women; 3) Non AA
Men; 4) Non AA Women. Which of the four groups has the highest mean HDL-C?
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