22nd London Stata Users Group Meeting

Thursday, 8 September 2016

Time Description
09:10-09:15Opening remarks

09:15-09:45The role of Somers’ D in propensity modelling
Roger B. Newson
Department of Primary Care and Public Health, Imperial College London

09:45-10:15Multi-state survival analysis in Stata
Michael J. Crowther1,2 and Paul C. Lambert1,2
1 Department of Health Sciences, University of Leicester
2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet

10:15-10:45Quantile plots: New planks in an old campaign
Nicholas J. Cox
Department of Geography, Durham University


11:15-11:45texdoc 2.0: An update on creating LaTeX documents from within Stata
Ben Jann
University of Bern

11:45-12:15Creating summary tables using the sumtable command
Lauren J. Scott
Clinical Trials and Evaluation Unit, Bristol

Chris A. Rogers
Clinical Trials and Evaluation Unit, Bristol

12:15-12:45Partial effects in fixed effects models
Gordon Kemp
Department of Economics, University of Essex

Joao M.C. Santos Silva (presenter)
School of Economics, University of Surrey


13:45-14:45What does your model say? It may depend on who is asking
David M. Drukker
StataCorp, College Station, TX

14:45-15:15Analyzing volatility shocks to Eurozone CDS spreads with a multi-country GMM model in Stata
Christopher F Baum
Boston College & DIW Berlin

Paola Zerilli
University of York

15:15-15:30Estimating dynamic common correlated effects in Stata
Jan Ditzen
Spatial Economics and Econometrics Centre, Heriot-Watt University, Edinburgh


16:00-16:30Analysing repeated measurements whilst accounting for derivative tracking, varying within-subject variance and autocorrelation: the xtiou command
Rachael A. Hughes
School of Social and Community Medicine, University of Bristol

Michael G. Kenward

Jonathan A.C. Sterne and Kate Tilling
School of Social and Community Medicine, University of Bristol

16:30-17:00statacpp: An interface between Stata and C++, with big data and machine learning applications
Robert L. Grant
Faculty of Health, Social Care and Education, Kingston and St George’s, London

17:00-17:30Using pattern mixture modelling to account for informative attrition in the Whitehall II study: a simulation study
Catherine Welch1 , Martin Shipley1 , Séverine Sabia2 , Eric Brunner1 and Mika Kivimäki1
1Research Department of Epidemiology and Public Health, UCL
2INSERM U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France

18:30 - CloseOptional dinner at Cinnamon Kitchen ( Prior registration required.

Friday, 9 September 2016

Time Description

09:30-10:00xtdpdqml: Quasi-maximum likelihood estimation of linear dynamic short-T panel data models
Sebastian Kripfganz
University of Exeter Business School

10:00-10:30Distribution regression made easy
Philippe Van Kerm
Luxembourg Institute of Socio-Economic Research

10:30-10:45sdmxuse:Program to import statistical data within Stata using the SDMX standard
Sébastien Fontenay
Institut de Recherches Économiques et Sociales, Université catholique de Louvain


11:15-12:15Joint modeling of longitudinal and survival data
Yulia Marchenko
StataCorp, College Station, TX

12:15-12:45stpm2cr: A Stata module for direct likelihood inference on the cause-specific cumulative incidence function within the flexible parametric modelling framework
Sarwar Islam
Department of Health Sciences, University of Leicester

Paul C. Lambert
Department of Health Sciences, University of Leicester
Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Stockholm

Mark J. Rutherford
Department of Health Sciences, University of Leicester


13:45-15:00Using simulation studies to evaluate statistical methods in Stata: A tutorial
Tim Morris
MRC Clinical Trials Unit at UCL

Ian White
MRC Biostatistics Unit, Cambridge

Michael Crowther
University of Leicester

15:00-15:30Reference based multiple imputation for sensitivity analysis of clinical trials with missing data
Suzie Cro
MRC Clinical Trials Unit at UCL and London School of Hygiene and Tropical Medicine


16:00-16:30Parallel computing in Stata: making the most out of your desktop
Adrian Sayers
Musculoskeletal Research Unit, University of Bristol

16:30 - closeWishes and grumbles
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