Instructor: Elena Erosheva C 14C, Padelford Hall (CSSS) elena at stat.washington.edu Office hour: Wednesday 2:303:30
Teaching Assistant: Laina Mercer, Statistics Padelford Hall mercel at uw.edu Office hour: Wednesday 3:304:30, Padelford C14A 
· Web: follow the class link from my homepage at http://www.stat.washington.edu/elena · Questions by email are welcome. They will often be answered quite quickly, but this is not guaranteed. In particularly, I don't always check email over weekends. 
This is an applied statistical methods course that will cover the statistical design and analysis of complex surveys, with applications in the social and health sciences. In addition to traditional topics in survey analysis we will cover data visualization, regression modeling of data from complex surveys, and the design and analysis of twophase samples from existing cohorts. 
· Lumley, T. (2010) Complex Surveys: a guide to analysis using R. Other recommended texts: · Cochran, W. (1977) Sampling Techniques · Korn and Graubard (1999) Analysis of Health Surveys · Groves et al. (2009) Survey Methodology 
I plan to post lecture notes at the class web page the night before each lecture. Please print out your own copies or plan to use electronic tools if you would like to write notes on the same pages. 
Labs/quiz sections will aim to reinforce the material covered in lectures. The labs will include handson experience with R, going over some mathematical derivations of important formulae, and providing a forum for discussing homework solutions, assigned articles and additional examples of sample survey design and analysis. 
· After successfully completing this course, students should ordinarily expect to be able to:

We
will use the survey
package in R. The class ‘computing’ web page contains info and links to
helpful resources. 
Students must have taken a graduatelevel introductory course in applied statistics and have prior experience with statistical computing in R. A regression modeling course is recommended. 

If
you would like to request academic accommodations due to a disability, please
contact Disabled Student Services, 448 Schmitz, 5438924 (V/TTY). If
you have a letter from Disabled Student Services indicating you have a
disability that requires academic accommodations, please present the letter
to me so we can discuss the accommodations you might need for this class. 