New survival statistics for rare cancers have been published on our website. Work from the CRUK-funded Cancer Policy Programme within the CSG has resulted in estimates of net survival and the probability of cancer death (also known as the crude probability of death) for patients in England who were diagnosed aged 15-89 years with one of 13 rare cancers between 1999 and 2013 who had follow-up time between 2009 and 2013. For full results click here
Available now as OnlineOpen: The latest article – “Impact of deprivation on breast cancer survival among women eligible for mammographic screening in the West Midlands (UK) and New South Wales (Australia): Women diagnosed 1997-2006” by Dr Laura Woods, Cancer Survival Group Lecturer and CR UK Postdoc Fellow — See more at: International Journal of Cancer.
Available now as OnlineOpen: The latest article – “Are international differences in breast cancer survival between Australia and England present amongst both screen-detected women and non-screen-detected women? Survival estimates for women diagnosed in West Midlands and New South Wales 1997-2006” by Dr Laura Woods, Cancer Survival Group Lecturer and CR UK Postdoc Fellow — See more at: International Journal of Cancer.
Dr Gary Abel, senior lecturer and statistician at the University of Exeter Medical School, gave a talk on the issues around understanding the variation in healthcare organisation indicator scores. Using the statistical concept of reliability, and examples from general practice profiles for cancer, he discussed the implications for the use and public reporting of these indicator variables, and how we might quantify chance and true underlying variability:
Prof Richard Martin, Head of Clinical Epidemiology and Public Health at the University of Bristol, and his colleague, Dr Philip Haycock, spoke on Mendelian randomisation at LSHTM in January 2016. They described how these emerging methods could overcome some limitations of observational research such as confounding and reverse causation, and how they could be used to make causal inferences or identify targets for disease prevention. Much of their work focuses on cancer: