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Course Description

This course is part two of a one-year, two-semester course on statistical methods for nutrition research. The focus of this course is on simple and multiple regression methods for continuous, binary, and survival data. Emphasis is on developing a conceptual understanding of the application of these techniques to solving problems rather than on numerical details. In the computer lab sessions, students will use concepts learned during lecture to analyze data using statistical software R and RStudio, an integrated development environment for R. NOTE: Students cannot receive semester hour units for both NUTR 309 and NUTR 307: Regression Analysis for Nutrition Policy. Prerequisites: Biostatistics I (NUTR 0206) or Statistical Methods for Nutrition Science and Policy (NUTR 0207) or equivalent, and graduate standing or instructor consent. Ability to conduct exploratory data analysis using R. Students who have not taken Principles of Epidemiology (NUTR 0204) or an equivalent course are strongly encouraged to take Principles of Epidemiology (NUTR 0204) concurrently with NUTR 0309.

Basic Enrollment Requirements: Unofficial Transcript - Bachelor's + 3.0 GPA. You will be contacted after registration for required evidence of immunization.

Instructor Approval: During registration, you will be asked to explain how you meet the pre-requisites for this course and to describe any relevant experience. The instructor will use this information to confirm your enrollment or will otherwise be in touch with you.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here:

Remission Eligible: Yes; first day of term; all university policies apply.

Affiliated With:

  • Friedman School of Nutrition Science and Policy