BIOST 2016 - SAMPLING DESIGN AND ANALYSIS

Minimum Credits: 3
Maximum Credits: 3
This is an applied statistical methods course designed to provide students with a working knowledge of introductory and intermediate-level sampling designs and associated methods of statistical analysis along with a basic understanding of the theoretical underpinnings. Students will also learn survey procedures in the SAS and STRATA software packages. Emphasis is placed on sampling human populations in large communities. Lecture topics include: simple probability samples, stratified sampling, ratio and regression estimation, cluster sampling, sampling with unequal probabilities, variance estimation and weighting in complex surveys, two-phase sampling, estimating population size and estimation of rare populations and small areas. The course will consist of two weekly 1.5 hour lectures including two special classes devoted to using SAS and STRATA.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SU3 Basis
Course Requirements: PREQ: (BIOST 2011 or 2041) and 2093; PROG: Graduate Sch of Public Health (PPBHL)

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