Preview of Multi-Variable Inference


Introduction

Useful SAS Procedures:

  • PROC GLM
  • PROC MEANS
  • PROC SGPLOT

PHC 6053 Video (4:58)


Now try working through a few of these methods with the NHANES data on your own.

EXAMPLE: NHANES DATA – Multi-Predictor Inference

  • Dataset: nh_2000a.sas7bdat – To use the dataset, save the file into the folder on your computer which is associated with a SAS library. Once you do this, open SAS and you should be able to immediately access the file using that library and the file name.
  • SAS Code and Output: Unit1-PreviewMultiVariableInference.pdf

LEARN BY DOING

Answer the following using the output provided above for this example.

  • Using the results on pages 1-3:
    • What is the p-value of the interaction term (using Type III SS in the last table)?
    • Which predictor, HBP or SEX, shows the largest effect?
  • Using the results on pages 4-6:
    • What is the p-value of the interaction term (using Type III SS in the last table)?
    • Based upon the plots we can say the effect of RACE is larger for ____ than for ____.
    • Based upon the plots we can say the effect of SEX is larger for ____ than for ____.
  • Using the results on pages 7-9:
    • What is the p-value of the interaction term (using Type III SS in the last table)?
    • Describe the effect of gender on the mean body weight.
  • Using the results on pages 10-12:
    • What is the p-value of the interaction term (using Type III SS in the last table)?
    • Describe the effect of gender on the mean systolic blood pressure.

Solution: Unit1-PreviewMultiVariableInference-Solution.pdf