19th London Stata Users Group Meeting: Proceedings
Overview
The 19th London Stata Users Group meeting was a two-day international conference that took place on 12-13 September 2013 at Cass Business School, London, UK. The use of Stata was discussed across a wide-ranging breadth of fields and environments. The meeting comprised a series of selected presentations and feature presentations from StataCorp representatives.
Established in 1995, the UK meeting is the longest running series of Stata Users meeting. The meeting is open to all interested; in past years, participants have travelled from around the world to attend the event. Representatives from StataCorp are also in attendance.
Presentation abstracts
Presentation abstracts for the 19th Stata Users Group Meeting are available online or in printable format:
> Download the abstracts as a PDF.
Presentations
Find copies of all the presentations and additional materials in the following section (the presentations are arranged chronologically based on the originaly meeting agenda):
Creating factor variables in resultssets and other datasets
Roger B. Newson
National Heart and Lung Institute, Imperial College London
uk13_newson.pdf
uk13_newson_examples1.do
treatrew: A user-written Stata routine for estimating average treatment effects by reweighting on propensity score
Giovanni Cerulli
Institute for Economic Research on Firms and Growth, Rome
Multiple imputation of covariates in the presence of interactions and nonlinearities
Jonathan Bartlett
London School of Hygiene and Tropical Medicine
A Monte Carlo analysis of multilevel binary logit model estimator performance
Stephen P. Jenkins
London School of Economics
Multilevel mixed-effects parametric survival analysis
Michael J. Crowther
Department of Health Sciences, University of Leicester
Multiple imputation of missing data in longitudinal health records
Irene Petersen
UCL Department of Primary Care and Population Health
Catherine Welch
UCL Department of Primary Care and Population Health
A multiple imputation and coarse data approach to residually confounded regression models
Robert Grant
St George’s, University of London, and Kingston University
The stiqsp command: A nonparametric approach for the simultaneous analysis of quality-of-life and survival data using the integrated quality survival product
Piers Gaunt
Cancer Research UK Clinical Trials Unit, University of Birmingham
Michael J. Crowther
Department of Health Sciences, University of Leicester
Lucinda Billingham
Cancer Research UK Clinical Trials Unit, University of Birmingham
Estimating spatial panel models using unbalanced panels
Gordon Hughes
University of Edinburgh
Repeated half-sample bootstrap resampling
Philippe Van Kerm
CEPS/INSTEAD, Luxembourg
Sample size by simulation for clinical trials with survival outcomes: The simsam package in action
Richard Hooper
Barts and The London School of Medicine & Dentistry, QMUL
Strategy and tactics for graphic multiples in Stata
Nicholas J. Cox
Durham University
uk13_cox.ppt
uk13_cox_materials.zip
A general approach to testing for autocorrelation
Christopher F. Baum
Boston College
Mark Schaffer
School of Management and Languages, Heriot-Watt University
Semiparametric regression in Stata
Vincenzo Verardi
Free University of Brussels
Power of the power command
Yulia Marchenko
StataCorp LP
Adaptive dose-finding designs to identify multiple doses that achieve multiple response targets
Adrian Mander
MRC Unit, Cambridge
Simon Bond
Cambridge Clinical Trials Unit, Cambridge University Hospitals NHS Foundation
usecspro: Importing CSPro hierarchical datasets to Stata
Sergiy Radyakin
The World Bank
From Stata to aML
Sara Ayllﾗn
University of Girona
Two-stage individual participant data meta-analysis and forest plots
David Fisher
MRC Clinical Trials Unit Hub for Trials Methodology Research
A suite of Stata programs for network meta-analysis
Ian White
MRC Biostatistics Unit, Cambridge
Path diagrams as a notational formalism�noodling around with pictures
Vince Wiggins
StataCorp LP
Estimating and modeling cumulative incidence functions using time-dependent weights
Paul Lambert
University of Leicester
Mixed logit modeling in Stata�an overview
Arne Rise Hole
University of Sheffield