Biostatistics 650 - Applied Regression Modeling

Spring
2018
01
3.00
Xiangrong Kong
W 4:00PM 6:30PM
UMass Amherst
60711
The aim of this course is to provide fundamental statistical concepts and tools relevant to the practice of summarizing, analyzing, and visualizing data in the context of regression modeling. This course will build your knowledge of the principles of statistical inference and also provide you with hands-on experience in using regression modeling to answer questions about real-world data. The course will focus on advanced linear regression methods, including model diagnostics, sensitivity analysis, and smooth splines, and will also introduce logistic regression. The course will be taught using R and SAS, and will include instruction and practice in data visualization and simulation studies in R.
PUBHLTH 540 and 597D must have taken PUBHLTH 540 (Intro Biostatistics) and PUBHLTH 597D (Intro to Statistical
Computing with R or equivalent intro stats and computing coursework or experience is required. A working knowledge of calculus and basic linear algebra. Permission of instructor required if courses above have not been taken.
Permission is required for interchange registration during all registration periods.