Time | Description |
09:10-09:15 | Opening remarks |
09:15-09:45 | The role of Somers’ D in propensity modelling Roger B. Newson Department of Primary Care and Public Health, Imperial College London [email protected] |
09:45-10:15 | Multi-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 [email protected] |
10:15-10:45 | Quantile plots: New planks in an old campaign Nicholas J. Cox Department of Geography, Durham University [email protected] |
10:45-11:15 | Break |
11:15-11:45 | texdoc 2.0: An update on creating LaTeX documents from within Stata Ben Jann University of Bern [email protected] |
11:45-12:15 | Creating summary tables using the sumtable command Lauren J. Scott Clinical Trials and Evaluation Unit, Bristol [email protected] Chris A. Rogers Clinical Trials and Evaluation Unit, Bristol [email protected] |
12:15-12:45 | Partial 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 [email protected] |
12:45-13:45 | Lunch |
13:45-14:45 | What does your model say? It may depend on who is asking David M. Drukker StataCorp, College Station, TX [email protected] |
14:45-15:15 | Analyzing volatility shocks to Eurozone CDS spreads with a multi-country GMM model in Stata Christopher F Baum Boston College & DIW Berlin [email protected] Paola Zerilli University of York |
15:15-15:30 | Estimating dynamic common correlated effects in Stata Jan Ditzen Spatial Economics and Econometrics Centre, Heriot-Watt University, Edinburgh [email protected] |
15:30-16:00 | Break |
16:00-16:30 | Analysing 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 [email protected] Michael G. Kenward Luton Jonathan A.C. Sterne and Kate Tilling School of Social and Community Medicine, University of Bristol |
16:30-17:00 | statacpp: 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 [email protected] |
17:00-17:30 | Using 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 [email protected] |
18:30 - Close | Optional dinner at Cinnamon Kitchen (www.cinnamon-kitchen.com). Prior registration required. |
Time | Description |
09:30-10:00 | xtdpdqml: Quasi-maximum likelihood estimation of linear dynamic short-T panel data models Sebastian Kripfganz University of Exeter Business School [email protected] |
10:00-10:30 | Distribution regression made easy Philippe Van Kerm Luxembourg Institute of Socio-Economic Research [email protected] |
10:30-10:45 | sdmxuse:Program to import statistical data within Stata using the SDMX standard Sébastien Fontenay Institut de Recherches Économiques et Sociales, Université catholique de Louvain [email protected] |
10:45-11:15 | Break |
11:15-12:15 | Joint modeling of longitudinal and survival data Yulia Marchenko StataCorp, College Station, TX [email protected] |
12:15-12:45 | stpm2cr: 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 [email protected] 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 |
12:45-13:45 | Lunch |
13:45-15:00 | Using simulation studies to evaluate statistical methods in Stata: A tutorial Tim Morris MRC Clinical Trials Unit at UCL [email protected] Ian White MRC Biostatistics Unit, Cambridge [email protected] Michael Crowther University of Leicester [email protected] |
15:00-15:30 | Reference 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 [email protected] |
15:30-16:00 | Break |
16:00-16:30 | Parallel computing in Stata: making the most out of your desktop Adrian Sayers Musculoskeletal Research Unit, University of Bristol [email protected] |
16:30 - close | Wishes and grumbles |