st: German User meeting: Announcement of survey data analysis workshop

[Ulrich Kohler <kohler@wzb.eu>]

Dear Statalist,

A workshop about survey data analysis will be held on the occasion of
the 9th German Stata Users' Group Meeting on June 30th 2011 in Bamberg. 

More information about the Workshop is given below. For more information
about the German Stata Users' Group meeting see
http://www.stata.com/meeting/germany11/


Overview
---------

Survey data analysis using Stata
by Jeffrey Pitblado

June 30th 2011

University of Bamberg
Feldkirchenstraße 21
96045 Bamberg 
Germany


Fees and Registration
---------------------

You can enroll by emailing Anke Mrosek (anke.mrosek@dpc.de) or by
writing, phoning, or faxing to

Anke Mrosek 
Dittrich & Partner Consulting GmbH
Kieler Str. 17
42697 Solingen
Telephone: +49 (0) 212 260 6624
Fax: +49 (0) 212 260 6666


German Users' Group meeting:   40 Euro (students 20 Euro)
              Workshop only:   90 Euro
Workshop and Users' meeting:  100 Euro


Description
------------

This workshop covers how to use Stata for survey data analysis
assuming a fixed population. Knowledge of Stata is not required,
but attendees are assumed to have some statistical knowledge,
such as what is typically covered in an introductory statistics
course. We will begin by reviewing the sampling methods used to
collect survey data, and how they affect the estimation of
totals,ratios, and regression coefficients. We will then cover
the three variance estimators implemented in Stata's survey
estimation commands. Strata with a single sampling unit,
certainty sampling units, subpopulation estimation, and
poststratification will be also covered in some detail. Each
topic will be illustraited with an example in a Stata session.


Outline
---------

1. Sampling design characteristics
     - cluster sampling
     - stratified sampling
     - sampling without replacement
2. Variance estimation
     - linearization
     - balanced repeated replication (BRR)
     - jackknife
3. Special types of sampling units
     - Strata with a single sampling unit
     - Certainty units

4. Restricted sample and subpopulation estimation

5. Postratification


Learning outcomes
-----------------

Attendees of this workshop will walk away with the following knowledge.

1. The difference between Stata's standard estimation commands
  and svy estimation commands.

2. How to use Stata's -svyset- command to identify the survey
   characteristics present in the dataset. These characteristics
   include: 
  ­ - sampling units at each sampling stage 
  ­ - strata at each sampling stage 
  ­ - sampling fractions used in the finite population correction when
     units are sampled without replacement at each sampling stage 
  ­ - replication weight variables 
  ­ - poststrata and their associated sizes 

3. How to handle certainty units.

4. The available choices for handling strata with one sampling
   unit.  

5. The difference between restricted sample estimation and
   subpopulation estimation.  


Instructional methods
---------------------

This workshop will combine slides, (using the LaTeX beamer class)
for displaying methods and formulas, with an interactive Stata
session.


Presenter background
---------------------

Jeff Pitblado is Associate Director, Statistical Software at
StataCorp LP. He is responsible for the survey features in
Stata. Starting with Stata 9, he has added the following survey
features to Stata: the -svy- prefix, the -svy brr- prefix, the
-svy jackknife- prefix, multistage design settings in the
-svyset- command, linearized variance estimation for multistage
designs, poststratification, and direct standardization of means,
proportions, and ratios. He also added survey features to Stata's
-ml- command and is a coauthor of "Maximum Likelihood Estimation
with Stata" (second, third, and fourth editions). Jeff earned a
Ph.D. in Mathematical Statistics from Southern Methodist
University in 2000.





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