Two-day short course on Small Area Estimation

Faculty of Medicine

Imperial College London

St. Mary's Campus, London

9:00 - 17:00, 28-29 February 2008

UPDATE: Attendants coming from non-UK academic institutions will be offered the same fees as those coming from UK academic institutions (i.e., £40 students and £80 others).

Course instructor

Prof. Partha Lahiri, University of Maryland at College Park

Dr. Partha Lahiri is Professor of the Joint Program in Survey Methodology (JPSM) at the University of Maryland at College Park, and a Research Professor of Institute of Social Research, University of Michigan, Ann Arbor. Prior to coming to Maryland, Dr. Lahiri was the Milton Mohr Distinguished Professor of Statistics at the University of Nebraska-Lincoln. His research interests include small-area estimation, resampling methods, record linkage, and multi-level modeling. Dr. Lahiri´s work has been widely published in leading journals such as the Journal of the American Statistical Association, Annals of Statistics and Survey Methodology. Dr. Lahiri has served on a number of advisory committees, including the U.S. Census Advisory committee. He is a Fellow of the ASA. In the past, Dr. Lahiri offered one-day, two-days, one-week, two-weeks and semester long courses on small area estimation at the U.S. Postal Service, ISR at the University of Michigan, JPSM, ZUMA (Germany), University of Bologna (Italy), Joint Statistical Meetings at Seattle, United Nations SIAP program and the Small Area Estimation Conference in Pisa (Italy).

Course outline

The course will describe the main methods and models used in Small Area Estimation. SAE methodology will be described in the morning sessions whilst the afternoon sessions will be devoted to put into practice some of these methods using R and WinBUGS.

The methods covered in the course will include design-based estimators, traditional indirect estimators, mixed-models and Bayesian models. The practicals will cover how to compute some of these methods using the R and WinBUGS software. A working knowledge of R and WinBUGS will be assumed, i.e., there will not be any tutorial on either R or WinBUGS. However, useful links will be made available from the course web page for those attendants who wish to improve their skills before the course.

The course will take place in the Hynds Computer Lab of the Faculty of Medicine and the participants will be able to use these facilities. Note that the course will take at the facilities of the Faculty of Medicine, Imperial College London at St. Mary's Campus, and NOT at the main campus in South Kensington.

The course will take place in the Hynds Computer Lab of the Faculty of Medicine and the participants will be able to use these facilities. Note that this is in the Faculty of Medicine, Imperial College London at St. Mary's Campus, and NOT in the main campus in South Kensington.

The complete address is

Faculty of Medicine
Imperial College London
St. Mary's Campus, Norfolk Place
W2 1PG London - UK

More information on how to arrive can be found at http://www1.imperial.ac.uk/medicine/contacts/campuses/stmarys/

This course is part of the ESRC National Centre for Research Methods trainning activities and there are reduced fees for ESRC-funded researchers.

Summary of course contents

Day 1 Day 2

Booking and course fees

Fees for the course are as follows:

£40 for postgraduate students registered at academic institutions

£80 for staff at academic institutions, ESRC-funded researchers and researchers from charity organisations

£350 for all other participants

This includes the course materials, refreshment and a buffet lunch. In order to book a place for the course, you should contact Virgilio Gomez-Rubio (v.gomezrubio@imperial.ac.uk).

Funding for postgraduates

The Quantitative Methods Research Group of the Royal Geographical Society (http://www.casa.ucl.ac.uk/QMRG/) has agreed to fund a number of postgraduate students attending the course. This funding will only cover the course fees, which will be reimbursed after the course. If you are eligible (i.e., a postgraduate student in any higher education institution) contact Virgilio Gomez-Rubio (v.gomezrubio@imperial.ac.uk) for more details.

Pre-course material

These links are intented to help the course attendants to get familiar with R and WinBUGS. Notice that NO tutorial of these computer programmes will be given in the course.

R

R software and packages
This is the main site to download R and the packages that we will use in the course.

An Introduction to R (HTML, PDF)
Introductory tutorial to R, ideal for beginners. It contains a description of data types, commands, etc. and how to make basic statistical analysis.

Additional information on the analysis of spatial data with R, including a gallery of figures, can be found via http://cran.r-project.org/src/contrib/Views/Spatial.html.

WinBUGS

WinBUGS
Software for Bayesian data analysis.