The workshop will give participants detailed insights into how a large and detailed dataset can be used to assess levels of mortality inequality in England, using a number of novel statistical methods. We will also address the question: are regional variations in mortality real or imaginary?
The workshop will focus on a large dataset obtained from the UK’s Office for National Statistics (ONS) and related sources. Data are available at the level of LSOA’s – small geographical areas with, typically, 1000-2000 residents and include death counts, exposures and a significant number of socio-economic variables including the index of multiple deprivation (IMD). The workshop will look at how the socio-economic and other variables can be used to predict high or low mortality relative to national mortality.
The programme will include: an overview of the ONS data; stochastic modelling using IMD deciles; the application of Generalised Linear Models (GLM’s) to model socio-economic differences in mortality; non-linear predictive modelling techniques for socio-economic and geographical variables; using cause-of-death information as an additional outcome to better understand trends and inequalities.
Level of detail
The workshop aims to give participants a good understanding of the underlying statistical methods and their use in the assessment of mortality inequalities using a variety of socio-economic predictive variables.
Life, pensions and specialist mortality actuaries; data analysts; actuarial students.
A good knowledge of statistics and some knowledge of survival analysis would be beneficial but is not essential.
|12.45-13.00||Welcome and introduction
|13.00-13.20||What types of socio-economic data are publicly available for mortality data?
|13.20-14.10||Multi-population stochastic mortality models: using the Index of Multiple Deprivation (IMD) deciles to model sub-population mortality
|14.25-15.15||Using Generalised Linear Models (GLM’s) to model the impact of socio-economic effects
|15.15-16.05||Using local linear regression to model socio-economic and geographical effects
|16.20-17.10||Mortality data by socio-economic group, region and cause of death: what do the patterns tell us?
|17.10-18.00||Discussion and refreshments|
Staple Inn Hall, High Holborn, London, WC1V 7QJ
Nearest Public Transport
Chancery Lane Station