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st: 10th London Stata Users Group meeting, 28/29 June 2004


From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   st: 10th London Stata Users Group meeting, 28/29 June 2004
Date   Thu, 29 Apr 2004 11:41:01 +0100

10th London Stata Users Group meeting
=====================================

Third notice of meeting

Dates:	Monday 28 and Tuesday 29 June 2004

Venue:	Centre for Econometric Analysis
	CASS Business School
	106 Bunhill Row
	London     EC1Y 8TZ

Cost:	�65 + vat = �76.38
Register online with Timberlake Consultants at 
http://www.timberlake.co.uk/stataug.html

The London Stata Users Group meeting is celebrating its 10th
anniversary in 2004.  We are marking the event by 
including in this meeting survey lectures from Stata users of
international repute and from senior members of StataCorp - the
developers of Stata - aimed at addressing fields where Stata is
particularly useful.

Stata users' meetings began in London, and as many have been held
there as in the rest of the world combined. (Other users'
meetings have been held in Berlin, Boston, C�rdoba, Dublin,
Maastricht, Madrid, and Utrecht. Yet others are scheduled 
for Rotterdam and Adelaide.) 

All are welcome to attend and participate. You are invited 
wherever you reside. In past years, we have had attendees not 
only from Britain, Ireland, and other European countries, but 
also from the USA, Australia, New Zealand, and elsewhere.

Program Monday 28th June

0930
Richard Upward, School of Economics, University of Nottingham
[email protected]
Analysing linked employer-employee data with Stata

0955
Giovanni S.F. Bruno, Universit� Commerciale Luigi Bocconi, Milano
[email protected]
Approximating the bias of the LSDV estimator for dynamic panel
data models

1020
Patrick Royston, MRC Clinical Trials Unit, London
[email protected]
Multiple imputation of missing data: an implementation of van
Buuren's MICE, and more

1045
Margaret May, Department of Social Medicine, University of Bristol
[email protected]
Smooth hazard functions for survival time data

1100 Coffee/tea

1130
Matteo Bottai (1,2) and Nicola Orsini (2,3)
(1) Arnold School of Public Health, University of South Carolina,
Columbia, SC
(2) Institute of Information Science and Technology, National
Research Council, Pisa
(3) Institute of Environmental Medicine, Karolinska Institutet, 
Stockholm
[email protected], [email protected]
A new Stata command for estimating confidence intervals for the
variance component of random-effects linear models

1145
Julian A. Fennema, Centre for Economic Reform and Transformation,
Heriot-Watt University
[email protected]
A comment on infrequency of purchase models in Stata

1200 Survey lecture
Christopher F. Baum, Department of Economics, Boston College, 
Boston, MA
[email protected]
Topics in time series regression modeling

1300 Lunch

1400 Survey lecture
Vince Wiggins, StataCorp, College Station, TX
[email protected]
Stata graphics, under the hood

1515 Tea/coffee

1545
Matthew Barnes, Office for National Statistics, London
[email protected]
Separation brings analysts and their graphs together

1600
Nicholas J. Cox, Department of Geography, University of Durham
[email protected]
Circular statistics in Stata, revisited

1625
Ulrich Kohler, WZB, Berlin
[email protected]
Biplots, revisited

1700 Close

Tuesday 29th June

0930
Ben Jann, Soziologie, ETH Z�rich
[email protected]
Tabulation of multiple responses

0955
Zoe Fewell (1), M. A. Hern�n (2), F. Wolfe (3), K. Tilling (1), 
H. Choi (4) and J. A. C. Sterne (1)
(1) Department of Social Medicine, University of Bristol
(2) Harvard School of Public Health
(3) National Data Bank for Rheumatic Diseases, USA
(4) Harvard Medical School
[email protected]
Controlling for time-dependent confounding using marginal structural models

1015 Survey lecture
Jonathan Sterne, Department of Social Medicine, University of Bristol
[email protected]
Meta-analysis in Stata: history, progress and prospects

1115 Coffee/tea

1145
Lois G. Kim and Ian R. White, MRC Biostatistics Unit, Cambridge
[email protected]
Compliance-adjusted intervention effects in survival data

1200 Survey lecture
Roger Newson, Department of Public Health Sciences, King's College, London
[email protected]



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