SAS code and format? 7. Refit the model but instead of using BMI as a continuous variable, use the indicator variables for the CDC's descriptive categories of weight. Interpret the results in the context of the problem. Include test statistics and 95% confidence intervals in your interpretation. In this model with indicator variables for BMI, test for the significance of BMI.

proc phreg data=hw7.comprisk; class BMI_1 BMI_2 BMI_3; model Time*Status(0) = BMI_1 BMI_2 BMI_3 Sex / ties=EFRON rl; id ID; run;

proc phreg data=hw7.comprisk; model Time*Status(0) = BMI_1 BMI_2 BMI_3 Age Sex; run;

8. Evaluate the proportional hazards assumption for the full model you fit in question 7. Interpret the results for each of the variables individually and globally. What do you conclude?