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:
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.
Invitation to submit an abstract
Please note that abstract submission has been extended to 22nd February 2016!
We are inviting participants to submit an abstract for consideration as an oral or poster presentation at the meeting. Delegates are encouraged to submit a talk or poster on a survival analysis topic, but this is not compulsory. There will be prizes available for the best oral and poster presentations.
Early January 2016: Registration and abstract submission opens
22nd February 2016: Abstract submission deadline (extended)
23rd February 2016: Decision on abstracts
28th February 2016 Earlybird deadline to register
18th March 2016: Final registration deadline
Registration is now closed.
Cost of meeting
The cost covers entrance to the meeting, catering and social event
Early registration (until 28th February 2016) £110
Cost thereafter - £130
Professor Gregory has developed statistical/mathematical models in the field of cancer in, for instance, looking at mathematical models that ascribe patterns in durations of response to cancer therapy to underlying biological processes related to resistance and tumour growth rates. He is senior statistician on an NIHR Applied Programme to evaluate protein biomarkers in renal and liver diseases. He has more than 30 years experience as a medical statistician, with more than 150 published papers, and currently has more than £10m grant income as a Principal Investigator for the Clinical Trials Research Unit at the University of Leeds. He won the $50,000 Lawrence Rudin prize, presented by the New York Academy of Medicine.
Dr Sperrin is Lecturer in Health Data Science in the Centre for Health Informatics, which is the centre of the Health e-Research Centre, the northern node of the Farr Institute.
Dr Sperrin researches new statistical methodology to make inference with observational health data, collaborating closely with clinicians, epidemiologists, health informaticians, software engineers and statisticians. His research can be categorised in three areas:
1. Understanding the observation process.
2. Inferring trends and patterns from data.
3. Making predictions and decisions.
Wednesday 13th April
9.30-10.00 Registration (with refreshments)
10.00-10.15 Welcome Laura Stroud
10.15-11.15 Keynote speaker 1 Professor Walter Gregory
11.15-11.30 Break (with refreshments)
11.30-13.15 Session 1: Flexible Modelling
14.00-15.15 Session 2: Emerging Methodology
15.15-15.45 Poster session (with refreshments)
15.45-16.45 Session 3: Subsequent Therapy
16:45-17:15 Career workshop
19.00-23.00 Dinner and evening social at Roxy Ballroom
Thursday 14th April
9.30-11.00 Session 4: Applications in Practice
11.00-11.15 Break (with refreshments)
11.15-12.15 Keynote speaker 2 Dr Matthew Sperrin
12.15-12.45 YSS session, prize-giving, feedback and close
13.30 16.30 RSS Leeds-Bradford meeting on multi-state models
If you require further information about the conference please use the meeting email address firstname.lastname@example.org
Laura is a medical statistician working on clinical trials within the cancer division at the Leeds Institute of Clinical Trials Research. She completed an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine in 2013 and has since been working on phase II and III haematological cancer clinical trials in chronic lymphocytic leukaemia.
Clare is an administrator working for the Division of Epidemiology and Biostatistics at the University of Leeds. She has a degree in English and eight years of experience in admin and events organisation.
Lesley Fairley is a statistician working with the Yorkshire Specialist Register of Cancer in Children and Young People based at Leeds Institute of Cardiovascular and Metabolic Medicine. She has a background in medical statistics and epidemiology and has held previous positions at the Northern and Yorkshire Cancer Registry and Information Service (NYCRIS) and the Born in Bradford birth cohort study. She has an interest in working with large complex clinical data sets, statistical methods relating to the analysis of routine health data, longitudinal data analysis methods, cancer survival methods in population-based research and ethnic inequalities in health.
Richard is a Senior Lecturer in Epidemiology. His research interests focus on the epidemiology of cancer in children, teenagers and young adults where he leads the research programme for the Yorkshire Register of Cancer in Children and Young People. Other research interests include the impact of specialist care for Teenagers and Young Adults on survival and long-term health; late effects emerging following cancer treatment for childhood and young adult survivors; exploitation of Hospital Episode Statistics (HES) data to monitor hospital activity; delays in diagnosis for children and young adults with cancer and impact on long-term health; delivery of care among young people with cancer and impact on clinical outcomes.
Methodological interests include survival analysis and multiple imputation techniques; cancer Registry data quality; ethnic group classification.
Sarah is an epidemiologist and research statistician on the Paediatric Intensive Care Audit Network (PICANet) which collects data on children admitted to intensive care across the UK and the Republic of Ireland based at Leeds Institute of Cardiovascular and Metabolic Medicine. She previously worked on the analysis of data related to dietary environmental and occupational risk factors for disease on several international collaborations. In 2011 she completed a part-time PhD exploring the measurement of early life infectious exposure in epidemiological studies. She is also local secretary for the Leeds Bradford Royal Statistical Society local group.
Sam is a medical statistician working on cancer clinical trials at Leeds Institute of Clinical Trials Research. She completed an MSc in Statistics at Lancaster University in 2012 and has since been working on phase I, II and III cancer trials, with an interest in the efficient use of clinical trial methodology to improve outcomes for patients.
Melpo is an applied health research statistician working on the Paediatric Intensive Care Audit Network (PICANet) which is based at Leeds Institute of Cardiovascular and Metabolic Medicine. She finished her MSc on Biostatistics at the National and Kapodistrian University of Athens. During her MSc she was collaborating with a research team studying factors that are associated with breast cancer appearance.
Isabelle is a medical statistician working within the Comprehensive Health Research Division at the Leeds Institute of Clinical Trials Research. She completed an MSc in Biostatistics at the University of Manchester in 2012 and has since been working on studies and clinical trials within the skin portfolio including pressure ulcer, and hand eczema research.
Bernadette Tatendashe Dondo
Bernadette is a statistical epidemiologist currently employed as a research assistant, with a research interest in cardiovascular epidemiology.
Avie-Lee is an early phase medical statistician working on early phase cancer clinical trials at Leeds Institute of Clinical Trials Research. She completed an MSc in Statistics with Medical Applications at the University of Sheffield in 2012 and has since been working on phase I and II cancer trials.
Getting Here & Accomodation
Leeds is central to the UK and is easily accessible by public transport. Please see this page for ways to get to the University.
We will be arranging to meet delegates staying at the Leeds City Centre Premier Inn, Wellington Street to accompany them to the social event but there are many hotels available across Leeds including major chains. For further information about accommodation please see this page.