TRAINING ON DATA EXPLORATION AND RESAMPLING METHODS IN APPLIED STATISTICS

Beginning and junior researchers may apply for training on data exploration and resampling methods in applied statistics. Participants will learn how to use data descriptions as a tool for discovery (hypothesis seeking). Course content includes:

· Describing a distribution

· Comparing distributions

· Describing a conditional distribution

· Diagnostic analysis

· Assessing sampling uncertainty from data

· The principle of plausible inference: description as analysis

Applicants should have a good academic background in statistics and quantitative methods, and be conversant with STATA.