This course is part two of a one-year, two-semester course on statistical methods for nutrition research (any study designs) . The focus of this course is on multiple regression models for continuous, binary, and count data. Emphasis is on developing a conceptual understanding of the application of these techniques to solving problems, and on exposure to statistical modeling concepts and theory (non-mathematical) within the context of nutrition research. In the computer lab sessions, students will use concepts learned during lecture to analyze data using statistical software R and RStudio, STATA, or SAS. Note: While students are not required to use a particular software program for this course, examples are provided primarily using Stata and R. Students who are using SAS may not receive sufficient support from the instructor. In addition, the statistical examples in the textbook were written in Stata.
Students cannot receive semester hour units for both NUTR 309 and NUTR 307: Regression Analysis for Nutrition Policy.