19th London Stata Users Group Meeting: Proceedings / Stata / Timberlake Consultants

19th London Stata Users Group Meeting: Proceedings


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.


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


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


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