Analysis of Complex Survey Data
Date:
20/04/2020 - 23/04/2020
Organised by:
University of Southampton
Presenter:
Dr. Yves Berger
Level:
Intermediate (some prior knowledge)
Contact:
For more information and registration, please contact Dr. Angela Luna at A.Luna.Hernandez@soton.ac.uk
Description:
The aim of the course is to present methods for statistical modelling, in particular for linear and logistic regression modelling, based on complex survey data with an emphasis on the impact of differential weighting, stratification and clustering. The module will also discuss issues associated with testing for goodness of fit and independence using tabulated survey data. Hands on exposure to the survey analysis and modelling facilities of the STATA package will form an integral part of the module.
Previous knowledge of Survey Sampling and Regression methods is assumed. Typically, students would be familiar with the linear and logistic regression models, as well as the principles of survey sampling design and estimation. For examples of syllabus for suitable prerequisite, see: https://www.southampton.ac.uk/courses/modules/stat6093.page and https://www.southampton.ac.uk/courses/modules/stat6095.page
Cost:
£800
Website and registration:
https://www.southampton.ac.uk/courses/modules/stat6107.page
Region:
South East
Keywords:
Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Regression Methods
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Regression Methods