Would it be possible to do one of these courses using the survey package in R?
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Paul Bivand
Head of Analysis and Statistics
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Inclusion
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From: email list for Radical Statistics [mailto:[log in to unmask]] On Behalf Of Gill Meadows
Sent: 09 June 2009 10:12
To: [log in to unmask]
Subject: ESDS Government Introductory Workshop: Analysing Complex Sample Design in ESDS Government
Introductory Workshop: Analysing Complex Sample Design in ESDS Government Datasets
Monday 20 July 2009
University of Manchester
Introduction
Standard statistical software commands typically treat data as simple random samples. A large proportion of Government surveys however employ complex sample design features such as stratification and clustering. Rather than treating such data as simple random samples, techniques, or approaches to analysis are required that take into account these design features.
Focussing on design-based approaches, this introductory workshop provides grounding in elementary concepts in complex sample design and the analysis of survey data using Stata. A new guide to analysing complex survey design in ESDS Government datasets is further introduced.
Overview
The morning sessions focus on theory and statistical concepts involved in the design and the analysis of complex surveys. In the afternoon, hands on workshops introduce design-based approaches to survey estimation using the ‘svy’ suite of commands in Stata. Topics covered include producing basic descriptive statistics, sub-population analysis, estimating design effects, and basic multivariate analysis. Practical exemplars are given using the Health Survey for England (HSE).
Course Requirements:
• A basic knowledge of the user interface and commands in Stata is required.
Those unfamiliar with Stata are referred pre-course to the first few sections of the guide on Analysing the Labour Force Survey using Stata.
• An understanding of elementary concepts in sampling theory and estimation will also be helpful (e.g. what a simple random is; knowing the distinction between a population parameter and a sample estimate (such as sample and population means); what are standard errors and confidence intervals).
The workshop is free to attend and lunch is provided. To view the programme and book a place please go to http://www.ccsr.ac.uk/esds/events/2009-07-20/
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