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Significantly enhancing your models

In building a mortality model (or any other kind of risk model) it is usually best to build a single, over-arching model rather than split the data into sub-groups (an approach called stratification, the disadvantages of which are discussed in Macdonald et al (2018)).  One obvious reason is to reduce the total number of parameters: why fit two parameters for age when one will do?
Written by: Stephen RichardsTags: Filter information matrix by tag: enhancement, Filter information matrix by tag: concealment, Filter information matrix by tag: stratification

COVID-19 mortality and sex

I recently looked at the progression of Covid-19 mortality risk with age.  As with all-cause mortality, another risk factor for Covid-19 is biological sex.
Written by: Stephen RichardsTags: Filter information matrix by tag: coronavirus, Filter information matrix by tag: mortality

COVID-19 mortality and age

When faced with a pandemic disease, such as the ongoing Covid-19 crisis, a multi-layered approach is useful.
Written by: Stephen RichardsTags: Filter information matrix by tag: coronavirus, Filter information matrix by tag: mortality

Another look at the Gompertz model

The year 1825 was a significant one not only for actuaries but for the wider scientific community: Benjamin Gompertz published his landmark paper on the graduation of human mortality (Gompertz, 1825). There were at least three completely new ideas in his paper. First, he gave his famous law of mortality. To quote Gompertz:

Written by: Iain CurrieTags: Filter information matrix by tag: Gompertz

Separation as a service

During the current Covid-19 pandemic, and in common with many service providers, we're dealing with support requests from users working at home. This isn't a huge upheaval for us, since we've always been a SaaS provider, and SaaS is intrinsically decentralised.
Written by: Gavin RitchieTags: Filter information matrix by tag: technology, Filter information matrix by tag: coronavirus, Filter information matrix by tag: public health

Wash your hands, live longer

As the coronavirus circles the globe, the only thing spreading faster is disinformation on so-called "social media".  In addition to ridiculous conspiracy theories, quack preventions range from the ineffective to the downright dangerous.
Written by: Stephen RichardsTags: Filter information matrix by tag: coronavirus, Filter information matrix by tag: influenza, Filter information matrix by tag: hygiene

Best practice in mortality work - regulatory comments

In a letter to the Chief Actuaries of UK insurance businesses, Malik (2019) highlighted two aspects of what the regulator regards as good practice in mortality work
Written by: Stephen RichardsTags: Filter information matrix by tag: season, Filter information matrix by tag: mortality improvements, Filter information matrix by tag: cohort effect

Mortality crossover

In a previous blog I discussed the importance of mortality convergence to actuaries, i.e. how mortality differentials narrow with age and how this interacts with discounting of cashflows.
Written by: Stephen RichardsTags: Filter information matrix by tag: mortality convergence, Filter information matrix by tag: crossover

The sound of progress

A while back we discussed the important role existing licensed medications could play when applied to the diseases of aging. A comparable discussion can be had about existing non-drug interventions and treatments, such as, in this case the venerable ultrasound.
Written by: Gavin RitchieTags: Filter information matrix by tag: longevity, Filter information matrix by tag: ultrasound

Model selection

When fitting a mortality model, analysts are faced with the decision of which risk factors to include or exclude.  One way of doing this is to look for the improvement in an information criterion that balances the fit against the number of parameters.  The bigger the improvement in the information criterion, the more strongly the model with the smaller value is preferred.

Written by: Stephen RichardsTags: Filter information matrix by tag: information criterion, Filter information matrix by tag: AIC, Filter information matrix by tag: relative likelihood