Survival Analysis for Junior Researchers
Dates: Monday 2nd April and Tuesday 3rd April 2012
Venue: John Foster Hall, Manor Road, University of Leicester, Leicester, LE2 2LG
Cost: £200 - includes cost of 2 day meeting facilities, meals, 1 night stay in residential accommodation and evening entertainment at the National Space Centre
Registration:
The abstract deadline has now passed. Registration will remain open as long as places are still available. Please be aware that this event is limited to 50 places
To register for this conference please go to the website given below and follow the instructions on screen. At the end of the registration process you will be asked for your payment details.
http://shop.le.ac.uk/browse/product.asp?catid=45&modid=2&compid=1
NOTE: If you wish to pay via invoice please proceed to the registration website and add the event to your basket (DO NOT PROCEED TO PAYMENT, LOG OUT). You MUST then e-mail conferences@le.ac.uk an invoice reference number, contact name, address, telephone number, email address, participants name, package booked and total invoice amount. If this procedure is not followed then your booking will not be completed and you will not have registered for the event.
If you have any questions please don't hestitate to send us an e-mail at survival@le.ac.uk.
Who Should Attend?
The meeting is aimed at junior researchers. For example, studying for an MSc or PhD or working as an applied or research statistician. The meeting will include both applications and methods for survival analysis in medical research. The meeting provides an ideal opportunity to present your research in an informal and relaxed setting. Three experts in the field (Dr. Paul Lambert, Professor Robin Henderson and Professor Cindy Billingham) will also be available to participate in any discussions related to the research presented.
Invited Speakers
Professor Robin Henderson - Newcastle University
Robin Henderson is Professor of Statistics and Head of Mathematics and Statistics at Newcastle University. He is in his second spell at Newcastle and he has also worked at Lancaster University and for BNFL. Rob's professional interests relate mainly to biostatistical applications, including event history, dynamic treatment, longitudinal and missing data methods. He has a firm belief that all statisticians should get their hands dirty with real data analyses.
Outside work Rob cites his interests as playing football, motorcycling, listening to good music, which means nothing old fashioned (pre 67) and none of this modern rubbish (post 77), and avoiding shopping.
Professor Lucinda Billingham - University of Birmingham
Lucinda (Cindy) Billingham is Professor of Biostatistics at the University of Birmingham. She is the Director of the MRC Midland Hub for Trials Methodology Research, one of a national network of seven Hubs in the UK funded by the Medical Research Council, providing local and national researchers undertaking trials with innovative methodology for design, conduct and analysis. She is also Biostatistics Lead and Assistant Director at the Cancer Research UK Clinical Trials Unit at Birmingham which runs an extensive portfolio of trials covering phase II/III and early drug development. As well as her PhD research on statistical methods for the simultaneous analysis of quality of life and survival data, other key areas of expertise include randomised phase II trials, evaluation of predictive biomarkers and application of Bayesian methods in clinical trials. Cindy's key strength is in making statistical methodology accessible for clinical researchers.
Programme
Robin Henderson – Newcastle University, UK
Counting, explaining and predicting event histories.
Cindy Billingham – University of Birmingham, UK
Survival analysis in clinical trials: the need to implement improved methodology.
Katie Harris – University of Leeds, UK
Investigation of relative survival from colerectal cancer between NHS organisations.
Linda Drevin – Regional Cancer Centre, Uppsala, Sweden
Prostate cancer risk in immigrant populations in Sweden.
Caroline Weibull – Karolinska Institutet, Stockholm, Sweden
Parkinson’s disease and cancer: a family study
Nick Latimer – University of Sheffield, UK
Methods for adjusting survival estimates to adjust for treatment crossover: a simulation study.
Michael Crowther – University of Leicester, UK
Joint modelling of repeatedly measured biomarkers and time-to-event data.
Jennifer Melvin – Kings College London, UK
An investigation of commonly used biomarkers and the risk of the metabolic syndrome and cancer.
Mark Rutherford – University of Leicester, UK
Therese Andersson – Karolinska Institutet, Stockholm, Sweden
Estimating the cure proportion of malignant melanoma, a population based study in 2 regions of Sweden.
Kym Snell – University of Birmingham, UK
The use of flexible parametric survival analysis in comparing mortality rates and absolute survival probabilities.
Anna Johansson – Karolinska Institutet, Stockholm, Sweden
Increased mortality in Swedish women diagnosed with breast cancer during and shortly after pregnancy.
Sarah Nolan – University of Liverpool, UK
A systematic review of methodology developed for meta-analyses with time-to-event outcomes.
Karen Pye – Lancaster University, UK
Elizabeth Conroy – University of Liverpool, UK
Sandra Eloranta – Karolinska Institutet, Stockholm, Sweden
How can we make cancer survival statistics more useful for patients and clinicians – an application using localized prostate cancer in Sweden.
Sally Hinchliffe – University of Leicester, UK
Competing risks – what, why, when and how?
Christel Häggström – Umeå University, Umeå, Sweden
Preliminary results from multi-state modelling of metabolic factors and risk of prostate cancer.
Sarah Seaton – University of Leicester, UK
Predicting length of stay of infants in the neonatal unit: a novel application of competing risks.
Milensu Shanyinde – University of Oxford, UK
Common misunderstandings of survival time analysis.
Laura Bonnett – University of Liverpool, UK
External validation of prognostic models.
Nathalie Støer – University of Oslo, Norway
Reuse of controls in nested case-control studies with application to a study of prostate cancer and vitamin D.
Timetable
Monday 2nd April
10.30 - 11.00 Registration
11.00 - 11.30 Welcome
11.30 - 12.30 Robin Henderson
12.30 - 13.30 Lunch
13.30 - 13.50 Katie Harris
13.50 - 14.10 Linda Drevin
14.10 - 14.30 Caroline Weibull
14.30 - 15.00 Break
15.00 - 15.20 Nick Latimer
15.20 - 15.40 Michael Crowther
15.40 - 15.55 Jennifer Melvin
15.55 - 16.15 William Havercroft
16.15 - 16.30 Short Break
16.30 - 16.50 Milensu Shanyinde
16.50 - 17.10 Laura Bonnett
17.10 - 17.30 Nathalie Støer
Tuesday 3rd April
09.15 - 09.35 Mark Rutherford
09.35 - 09.55 Therese Andersson
09.55 - 10.15 Kym Snell
10.15 - 10.35 Anna Johansson
10.35 - 11.05 Break
11.05 - 11.25 Sally Hinchliffe
11.25 - 11.45 Christel Häggström
11.45 - 12.05 Sarah Seaton
12.05 - 12.25 Sandra Eloranta
12.25 - 13.25 Lunch
13.25 - 14.25 Cindy Billingham
14.25 - 14.55 Break
14.55 - 15.10 Sarah Nolan
15.10 - 15.30 Karen Pye
15.30 - 15.50 Beth Conroy
15.50 - 16.00 Close Conference
About the Organisers
Sally Hinchliffe
Sally Hinchliffe is a PhD student in the Department of Health Sciences at the University of Leicester under the supervision of Paul Lambert. Her PhD focuses on adapting and appraising competing risks methodology for better communication of survival statistics. This has so far involved modelling competing risks using flexible parametric models and applying both standard and new methodology to population based cancer data.
Mark Rutherford
Mark Rutherford is a CRUK postdoctoral research fellow in the Department of Health Sciences at the University of Leicester under the supervision of Paul Lambert. The topic of his PhD was "Predicting the Burden of Cancer on Society" which led to the development and application of models for incidence, survival and prevalence. His current projects include evaluating the use of splines to capture the shape of baseline hazard functions and providing improved measures for patients when conducting population-based studies of cancer survival.
Sarah Seaton
Sarah Seaton is a Research Assistant funded by a Research Methods Fellowship with the NIHR. She currently works in The Infant Mortality and Morbidity Studies research group, investigating the causes and consequences of preterm birth. In particular her research interests are in: predicting survival of premature babies; investigation of ethnic differences and comparison of hospital performance.
Michael Crowther
Michael Crowther is a Research Assistant in Medical Statistics in the Department of Health Sciences at the University of Leicester. His main research area is the joint modelling of longitudinal and survival data, involving both methodological and software development.
