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David Lau Boxplot

Intern Project

Cancer incidence and survival methodology

Overview:

In the summer of 2019, one of our interns, David, worked to test two different statistical methodologies for calculating cancer incidence and survival. 

Further details:

Firstly, David examined all the current methodologies for calculating cancer survival and tested a new method to see if it could work for calculating survival for rarer cancers. It is difficult to calculate survival accurately for rarer cancers because there are fewer people affected by these cancers. David then spent the second half of his internship modelling cancer incidence to see how it has changed over time and see if he could project incidence into the future.

Timeframe:

Summer 2019

Outcomes: 

David concluded that the Brenner method, recently coded into Stata, is a viable alternative weighing method to use in national statistics due to the value it gives those affected by the rarer cancers.

David’s presentation video:

David Lau

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David’s end of attachment video:

David

This is “David” by Kim Whittlestone on Vimeo, the home for high quality videos and the people who love them.

David Lau Boxplot
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