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Join date : 2013-06-13
Population-based Time-to-event Analyses International Conference
Tue 16 Feb 2016 - 17:48
Population-based Time-to-event Analyses International Conference
Wednesday 31st August to Friday 2nd September 2016
The conference will be held at the London School of Hygiene and Tropical Medicine, in the main building on Keppel Street, Bloomsbury, London and it is co-organised by the Cancer Survival Group and the Centre for Statistical Methodology.
Website: http://csg.lshtm.ac.uk/pta2016/
Themes of the conference
The conference will focus on three themes of time-to-event analyses, all of which concentrate on population-based data and translational epidemiology:
Recent methodological developments in competing risks and net survival
Hierarchical and correlated data in survival and longitudinal analysis
Causal inference in longitudinal settings with time-dependent confounding
The conference will include world-renowned invited speakers as well as oral and poster communications. At the end of the conference, a panel will summarise the methods presented and the discussions highlighted during the three days and will look to the future in methodological developments regarding advanced time-to-event analyses of population-based data.
Aims and objectives
• To bring together international speakers, experts in their field, to present the state-of-the-art methods relating to each of the conference themes
• To provide a forum for researchers interested in time-to-event analyses to meet informally and learn about advanced methods in the framework of time-to-event analyses on population-based data
• To offer opportunities for networking to foster future research opportunities and collaborations
Invited speakers
Recent methodological developments in competing risks and net survival
Per Kragh Andersen, University of Copenhagen, Denmark
Aurélien Latouche, Conservatoire national des arts et métiers, France
Ronald Geskus, University of Amsterdam, Netherland
Hierarchical and correlated data in survival and longitudinal analysis
Catherine Legrand, Université Catholique de Louvain, Belgium
Andreas Wienke, Martin Luther University Halle-Wittenberg, Germany
Inês Sousa, Minho University, Portugal
Causal inference in longitudinal settings with time-dependent confounding
Mark Van Der Laan, Berkeley University of California, California (CA), USA
Miguel Hernan, Harvard School of Public Health, Harvard University, Boston (MA), USA
Stephen Cole, University of North Carolina, North Carolina (NC), USA
Registration and important dates
Early-bird registration deadline — Monday 4 April 2016
Abstract submission deadline — Monday 4 April 2016
Notification of abstract results — by Friday 13 May 2016
Final registration deadline — Monday 22 August 2016
Conference — Wednesday 31 August to Friday 2 September 2016
Registration includes access to the 3 days of the conference, morning and afternoon tea breaks, lunch on each day and invitation to the conference reception on the evening of Wednesday 31 August. Travel and accommodation are not included.
Website: http://csg.lshtm.ac.uk/pta2016/
Contact: pta2016@lshtm.ac.uk
Wednesday 31st August to Friday 2nd September 2016
The conference will be held at the London School of Hygiene and Tropical Medicine, in the main building on Keppel Street, Bloomsbury, London and it is co-organised by the Cancer Survival Group and the Centre for Statistical Methodology.
Website: http://csg.lshtm.ac.uk/pta2016/
Themes of the conference
The conference will focus on three themes of time-to-event analyses, all of which concentrate on population-based data and translational epidemiology:
Recent methodological developments in competing risks and net survival
Hierarchical and correlated data in survival and longitudinal analysis
Causal inference in longitudinal settings with time-dependent confounding
The conference will include world-renowned invited speakers as well as oral and poster communications. At the end of the conference, a panel will summarise the methods presented and the discussions highlighted during the three days and will look to the future in methodological developments regarding advanced time-to-event analyses of population-based data.
Aims and objectives
• To bring together international speakers, experts in their field, to present the state-of-the-art methods relating to each of the conference themes
• To provide a forum for researchers interested in time-to-event analyses to meet informally and learn about advanced methods in the framework of time-to-event analyses on population-based data
• To offer opportunities for networking to foster future research opportunities and collaborations
Invited speakers
Recent methodological developments in competing risks and net survival
Per Kragh Andersen, University of Copenhagen, Denmark
Aurélien Latouche, Conservatoire national des arts et métiers, France
Ronald Geskus, University of Amsterdam, Netherland
Hierarchical and correlated data in survival and longitudinal analysis
Catherine Legrand, Université Catholique de Louvain, Belgium
Andreas Wienke, Martin Luther University Halle-Wittenberg, Germany
Inês Sousa, Minho University, Portugal
Causal inference in longitudinal settings with time-dependent confounding
Mark Van Der Laan, Berkeley University of California, California (CA), USA
Miguel Hernan, Harvard School of Public Health, Harvard University, Boston (MA), USA
Stephen Cole, University of North Carolina, North Carolina (NC), USA
Registration and important dates
Early-bird registration deadline — Monday 4 April 2016
Abstract submission deadline — Monday 4 April 2016
Notification of abstract results — by Friday 13 May 2016
Final registration deadline — Monday 22 August 2016
Conference — Wednesday 31 August to Friday 2 September 2016
Registration includes access to the 3 days of the conference, morning and afternoon tea breaks, lunch on each day and invitation to the conference reception on the evening of Wednesday 31 August. Travel and accommodation are not included.
Website: http://csg.lshtm.ac.uk/pta2016/
Contact: pta2016@lshtm.ac.uk
- Διάλεξη ΠΜΣ Βιοστατιστικής (Ιατρική Σχολή και Τμήμα Μαθηματικών ΕΚΠΑ): Modelling effects of time-varying exposures in time-to-event analyses with applications to assess drugs safety and effectiveness by M. Abrahamowicz
- ΠΜΣ Βιοστατιστική - Ιατρική Σχολή και Τμήμα Μαθηματικών ΕΚΠΑ - Διάλεξη Michal Abrahamowicz: "Modelling effects of time-varying exposures in time-to-event analyses with applications to assess drugs safety and effectiveness"
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