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Using R for Biostatistics II (BIOE 806)

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This 1 credit course, offered in Spring 2019, is intended for novice users of R who wish to advance their knowledge and understanding of
the popular and versatile statistical programming language.

R is widely used for data analysis and visualzation by statisticians and data scientists. Besides providing the ability to perform basic statistical tests and graphs, it gives the user access to cutting-edge
statistical and graphical techniques via add-on packages. It is available free of charge on almost all operating systems.

This is a second course in R programming and data analysis. Students will be able to:

  • Understand the model formula syntax for specifying regresison models
  • Implement linear and generalized linear models (eg. logistic regression)
  • Manipulate “messy” data into a “tidy” form

Other topics such as Cox regression, propensity scores, and bootstrapping may be covered depending on student interest.

Students should have knowledge of elementary biostatistics (BIOE 811 or BIOE 845 or equivalent) and are expected to bring their own laptop computer to class. They should also be familiar with the material of “Using R for Biostatistics I (BIOE 805)”:
https://bitbucket.org/linen/bioe805/

Course director: Saunak Sen, PhD, Professor of Biostatistics, Department of Preventive Medicine (sen@uthsc.edu)

Time: Thursdays, 11:00-12:00

Place: 66 N Pauline (Doctors Building), Room 402

Registration:

Registration has to be initiated by the College of Graduate Health Sciences.