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4th Annual Survival Analysis for Junior Researchers Conference 2015
Thursday 9th and Friday 10th April 2015
Keele University, Staffordshire
Keele University is proudly hosting the fourth annual Survival Analysis for Junior Researchers conference, aimed at career-young researchers with an interest in the statistical analysis of time-to-event data. The conference will take place on Thursday 9th and Friday 10th April 2015 and will provide participants the opportunity to present their work to researchers at a similar stage of their career in a relaxed and friendly atmosphere.
The event will include lectures from two plenary speakers, poster and oral sessions, and an evening social event.
Who Should Attend?
The conference is aimed at researchers with an interest in the statistical analysis of time-to-event data who are in the early stages of their career, Including:
- career-young researchers,
- PhD students
- post-graduate students
The conference offers an ideal opportunity to present and discuss your work with likeminded peers.
Of course, anyone who does not consider themselves “career-young” is still welcome to attend and present as well.
- Registration & Abstract Submission
- Plenary Speakers
- How to Get Here
- Organising Committee
- Contact Us
Registration & Abstract Submission
In order to register for a space on the conference please complete the following form and return to us at firstname.lastname@example.org
The final deadline for registration is 6th March 2015
Note: Invoices will be issued within 2 weeks of receipt of completed registration forms. Payments must be made before the 20th March 2015 to secure a place at the conference.
Delegates are encouraged to submit a 15-17 minute talk or poster on a survival analysis topic, but this is not compulsory.
If you would like to submit a presentation (oral or poster), please ensure you have sent an abstract via email to email@example.com by 6th March. Abstract submission guidelines can be found below.
An early bird registration fee of £150 is being offered until 1st February 2015. Between the 2nd February and the 6th March (when registration closes), the price of the conference will be £165.
This cost covers the full conference fee, accommodation on the Thursday night and food throughout. Additional accommodation can be added by request, please fill out the additional information on the registration form.
Professor Jane Hutton
Professor Jane Hutton works in medical statistics, with special interests in survival analysis, meta-analysis and non-random data. Her methodological research largely focuses on developing models to answer questions raised by health care colleagues, and patients. For example, collaborations with epilepsy specialists in meta-analyses led to papers on biases due to within study selection of outcomes and sub-groups, and to joint models for pre-randomisation seizure counts and post-randomised trials. Collaboration on a trial of ankle sprains has led to models for recovery rates with skew, bounded scores, with missing data
Professor Fiona Steele
Professor Fiona Steele has interests in all areas of social statistics, with particular expertise in the development and application of multilevel modelling, event history analysis, and simultaneous and structural equation modelling. All methodological research motivated by social science problems, particularly in the field of demography.
Previous research, collaborating with demographers and economists, include: reproductive and child health in developing countries, the impact of women's participation in credit programmes in Bangladesh, the relationship between childbearing and partnership outcomes in Britain, and the impact of school resources on pupil attainment in Britain.
The conference will comprise of talks given by 2 keynote speakers, a number of delegate oral presentation sessions, a delegate poster presentation session and an evening social event.
The full programme for events will be confirmed shortly.
At the 2014 conference held at the University of Warwick, a diverse range of talks were given including topics such as flexible parametric survival modelling, joint modelling and the analysis of competing risks.
How to Get Here
The conference will take place in Keele University Sustainability Hub, Home Farm, Keele University, ST5 5AA, (building 40 in the campus map).
Getting to Keele by Train
The nearest railway stations to Keele are:
- Stoke-on-Trent (5 miles/8km away)
- Crewe (12 miles/19km away)
From the train stations you can get to Keele campus via bus or taxi.
Taxi: There is a taxi rank outside Stoke-on-Trent and Crewe railway stations. The journey takes 15-20 minutes from Stoke-on-Trent railway station and 20-25 minutes from Crewe railway station.
Bus: For information about reaching Keele from the above railway stations, see getting here by bus
Getting to Keele by Coach
Coaches from many parts of the country call at Hanley (Stoke-on-Trent) and Newcastle-under-Lyme bus stations. You can get a local bus to the campus.
Getting to Keele by Car
Keele is between Junctions 15 and 16 on the M6 motorway, and is just west of Stoke-on-Trent and Newcastle-under-Lyme. We are halfway between Manchester and Birmingham.
More information can be found here.
Further information can be found here:
Ebenezer received training in epidemiology, biostatistics and environmental health (major in biostatistics). He joined Research Institute of Primary Care and Health Sciences in 2013 having previously worked for the University of Aberdeen and the Centre for Development & Population Activities (now part of Plan International USA). His current job role include providing statistical design, project monitoring, data management and analysis, results interpretation, writing of research results for publication. His research interests broadly include clinical trials and epidemiology.
Rebecca is a NIHR Research Methods Fellow working within the Arthritis Research UK primary care centre. She completed an MSc in Medical Statistics at Leicester University in 2013 as part of her fellowship and has since been working as a full-time meber of the statistics team at Keele. Her main research has been to extend the work carried out during the dissertation of her MSc, investigation prodromal phases of knee osteoarthritis using multilevel modelling.
Ying Chen obtained his BSc in Biotechnology from the University of Yangzhou (2002 - 2006), and MRes in Biomedical Sciences from the University of Glasgow (2006 - 2007). Thereafter, he was awarded the Dorothy Hodgkin Postgraduate Award during that he studied for a PhD in Genetic Epidemiology at Keele University (2008 - 2012). Following the study, he worked as an epidemiologist for the Roy Castle Lung Cancer Research Programme at the University of Liverpool (2012 - 2013) before taking up the position at Keele again. Currently, his main research interest is in use and analysis of data from large electronic medical records in GP setting.
Dan is a current PhD student at Keele University, investigating hand conditions in older people using Latent Transition Analysis, a longitudinal extension to Latent Class Analysis. Pre-PhD Work has contained a variety of statistical techniques including survival analysis with multiple failure events, and other techniques such as propensity score analysis and zero-inflated Poisson regression as well as an applied interest in longitudinal factors of musculoskeletal problems and opioid therapy.
Reuben is a Biostatistician and is currently working mainly in the design, conduct, and analysis of randomised controlled trials and in the methodological research in clinical trials with main focus in primary care musculoskeletal research.
Jessica is a current PhD student at Keele University, looking at the joint modelling of longitudinal techniques and time to event analysis in order to investigate functional recovery in patients who have had a stroke. Jessica joined Keele University after completing MSc in Medical Statistics at University of Leicester in 2013.
Trishna is a part time PhD student modelling propensity scores using electronic primary care records in determining the treatment effect of allopurinol in gout. In addition she provides statistical support for trials and observational studies and has applied various statistical methods, for example risk prediction modelling, handling missing data using multiple imputation and inverse probability weighting, and latent class analysis.
Lucy is a research assistant in biostatistics at Keele University. She provides statistical support as a front line advisor for the West Midlands Research Design service and also focuses on prognostic modelling within the Health Service Research Unit, specialising in competing risk survival models.
Dahai was awarded the PhD in Cardiovascular Epidemiology & Genetic Epidemiology at Peking Union Medical College and Tsinghua University in 2009, before he worked as a Statistician for an environmental epidemiology project at Division of Population Health Sciences and Education, St George's Univeristy London. He joined the Institute of Metabolic Science, Cambridge University Hospitals as an Epidemiologist for diabetes integrated care project in 2011. He began his current position as a Research Associate in Chronic Disease Surveillance in June 2013.
Survival Analysis for Junior Researchers Conference 2015
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