University of Cambridge > Talks.cam > MRC Biostatistics Unit Seminars > Modelling Relative Survival: Flexible Parametric Models and the Estimation of Net and Crude Mortality

Modelling Relative Survival: Flexible Parametric Models and the Estimation of Net and Crude Mortality

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If you have a question about this talk, please contact Michael Sweeting.

Relative survival is the analysis method of choice for population-based cancer studies. This is because it can estimate mortality associated with a diagnosis of cancer without the need for cause of death information by utilising expected mortality rates from routine data sources. I will discuss recent advances in the modelling of relative survival and in particular the use of flexible parametric models.

I will discuss how relative survival models provide an estimate of net mortality, which is the probability of death due to cancer in the absence of other causes. This is useful measure for national and international comparisons, monitoring changes in survival over time and investigating potential risk factors for increased cancer related mortality. However, for patients, clinicians and health care policy makers it is usually of more interest to estimate crude 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 the flexible parametric modelling approach and will illustrate the methods using data from various international population-based cancer studies.

This talk is part of the MRC Biostatistics Unit Seminars series.

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