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There are still a few places left on the below course. Registration will be closing on the 31st March 2015. Thanks, Michael Course: Joint modelling of longitudinal and survival data in Stata Dates: 22nd-23rd April 2015 Location: University of Leicester, College Court Course Description: The joint modelling of longitudinal and survival data has been an area of growing interest in recent years, with the benefits of the approach becoming recognised in ever widening fields of study. The models can provide both an effective way of conducting analysis of a survival endpoint (e.g. time to death), influenced by a time-varying covariate measured with error, or alternatively correct for non-random dropout in the analysis of a longitudinal outcome (e.g. a biomarker). This two-day course will provide an introduction to joint modelling through real applications to both clinical trial data and electronic health records, describing the methodological framework, underlying assumptions, estimation, model building and predictions. Analyses will be conducted using the stjm package in Stata. Registration and full details: Delegates Registrations: Joint Modelling of Longitudinal and Survival Data in Stata <http://shop.le.ac.uk/browse/extra_info.asp?compid=1&modid=2&deptid=1&catid=45&prodid=187> A preliminary timetable can be found on the course website: http://sites.google.com/site/jointmodelling Course lecturers: Dr Michael J Crowther Research Associate in Medical Statistics and NIHR Doctoral Fellow University of Leicester Email: [log in to unmask]<mailto:[log in to unmask]> Professor Keith R Abrams Professor of Medical Statistics University of Leicester Email: [log in to unmask]<mailto:[log in to unmask]> Professor Paul C Lambert Professor of Biostatistics University of Leicester and Karolinska Institutet Email: [log in to unmask]<mailto:[log in to unmask]> Target audience * Researchers needing to analyse joint longitudinal-survival data. * Familiarity with running Stata would be beneficial, but is not essential. * Participants should bring their own laptops, ideally with Stata (version 12.1 or higher) installed. Temporary copies of Stata can be provided. Best wishes, Dr Michael J. Crowther Research Associate in Medical Statistics & NIHR Doctoral Research Fellow Department of Health Sciences University of Leicester Adrian Building Leicester LE1 7RH Tel: +44(0) 1162 297278 Email: [log in to unmask]<mailto:[log in to unmask]> Homepage: http://www2.le.ac.uk/departments/health-sciences/research/biostats/staff-pages/mjc76 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.