This course is a statistical methods class appropriate for second year Master’s students and PhD students. The course will be a combination of hands-on applications and general review of the theory behind different approaches to sampling and weighting.
Topics covered include:
Examples of the types of projects which will be completed by students are:
There will also be small-scale homework problems so that students get some practice using all methods covered in the class. The emphasis will be on using the methods to solve practical problems with theory being reviewed so that it is clear what the assumptions are for different techniques. Throughout the course there will be a heavy emphasis on how to program the techniques using R, Excel, and SAS.
Sampling theory (e.g., SURV440) and Applied sampling (e.g., SURV626)
Some experience in the use of statistical software package is helpful.