Courses Details

NUTR620: Multivariate Analysis of Nutrition Related Studies

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 Credit Hour(s) for residential students;
  • Instructor(s): Ruiz-Narvaez, Edward (Residential);
  • Prerequisites: BIOSTAT 521 or Instructor consent
  • Description: This course will teach students how to use multivariate statistical techniques to analyze nutritional data. Students will develop skills for the understanding, interpretation, and communication of nutrition-related results on relation to different health outcomes. Students will present a final report with the synthesis and conclusions of all their analyses.
  • Learning Objectives: The student will learn to: -Carry out multivariate analysis to evaluate association between dietary exposures, biomarkers, and health outcomes. -Derive, using principal component analysis, and interpret dietary patterns from dietary intake data. -Summarize, present, and discuss results of nutrition related studies. -Critically read relevant literature.