This course provides a survey of regression techniques for outcomes common in biomedical and public health data including continuous, count, binary, and time series data. Emphasis is on developing a conceptual understanding of the application of these techniques to solving problems, rather than to the numerical details. The objectives of this course are to 1) recognize when data can be described and analyzed by a regression model; 2) develop and interpret regression models; 3) plan and conduct an appropriate analysis; 4) summarize the results of the analysis in terms of the research question in both verbal and written formats suitable for targeted audiences.
Intermediate Biostatistics: Regression Methods
PH 205 with a grade B or better, or NUTR 207: Statistical Methods for Nutrition Science and Policy or NUTR 209: Statistical Methods for Nutrition Research (Science) with a grade B- or better. Students who wish to use other statistics course as prerequisites please gather a syllabus of the said course and contact the course director for consent before the end of the add/drop period.