Tutorial: Survey Analysis in R |
Background knowledge:
Either experience in analyzing complex surveys or experience in regression modelling with S.
Intended audience:
The primary audience is biostatisticians and social or economic statisticians interested in secondary analysis of complex national surveys. A secondary audience is people involved in teaching survey analysis or design-based inference who want to explore using R as a tool.
Justification:
Until recently survey statistics was dominated by special-purpose software. This is now changing, with many general-purpose statistical systems offering some survey analysis tools. There appears to be interest in the R survey package both from government agencies and from academics (and the JSS paper about the survey package at least gets more hits than average for the journal).
Goals:
After the course, participants should be able to create R objects describing stratified multistage surveys, create calibrated or post-stratified weights, extract tables of summary statistics, and perform regression modelling.
Outline: