Nutrition Data Analysis

Course Details

Course Number
NUTR 311
Associated Faculty

Course Description

This course will cover knowledge of advanced Stata statistical computing, data base construction, error detection and correction, creation of composite variables, descriptive statistics, univariate analyses, regression analysis of continuous, binary and categorical outcomes, ANOVA & ANCOVA, analysis of clustered data including cluster randomized trials, panel data analysis & introduction to multilevel modeling, factor analysis; and the construction of scales and factor scores. Students pose a research question, identify appropriate statistical techniques for answering the research question, perform the analyses and report on the results in an article suitable for publication in an academic journal. Advanced Stata programming will be taught in weekly hands on lab sessions.

Syllabus: 

Prerequisites

NUTR 207: Statistical Methods for Nutrition Science and Policy and NUTR 307: Regression Analysis For Nutrition Policy or instructor consent.

Terms Offered

Semester/Term SIS Number Meeting Time Location Instructors Syllabus
Fall 2016 63464 Friday 1:30pm - 4:30pm Sackler Computer Lab, Room 514 Robert F. Houser
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