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.
Nutrition Data Analysis
NUTR 207: Statistical Methods for Nutrition Science and Policy and NUTR 307: Regression Analysis For Nutrition Policy or instructor consent.
|Semester/Term||SIS Number||Meeting Time||Location||Instructors|
|Fall 2018||81414||Friday 1:30pm - 4:30pm||Sackler Computer Lab, Room 514||N/A|