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SUMMARY:Modelling Relative Survival: Flexible Parametric Models and the Es
 timation of Net and Crude Mortality - Paul Lambert\, Centre for Biostatist
 ics and Genetic Epidemiology\, University of Leicester
DTSTART:20101116T143000Z
DTEND:20101116T153000Z
UID:TALK25591@talks.cam.ac.uk
CONTACT:Michael Sweeting
DESCRIPTION:Relative survival is the analysis method of choice for populat
 ion-based cancer studies. This is because it can estimate mortality associ
 ated with a diagnosis of cancer without the need for cause of death inform
 ation by utilising expected mortality rates from routine data sources. I w
 ill discuss recent advances in the modelling of relative survival and in p
 articular the use of flexible parametric models. \n\nI will discuss how re
 lative survival models provide an estimate of net mortality\, which is the
  probability of death due to cancer in the absence of other causes. This i
 s useful measure for national and international comparisons\, monitoring c
 hanges in survival over time and investigating potential risk factors for 
 increased cancer related mortality. However\, for patients\, clinicians an
 d health care policy makers it is usually of more interest to estimate cru
 de mortality\, i.e. the probability of death due to cancer in the presence
  of other causes. I will shows that these measures can be obtained using t
 he flexible parametric modelling approach and will illustrate the methods 
 using data from various international population-based cancer studies.
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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