A personal reckoning of my failure to acknowledge the origins of my field

This week marks Holocaust Memorial Day and the end of my five years studying in the Statistics department of University College London (UCL), which was the home, for decades, of the most prominent eugenicists.

Until this week, it didn’t bother me that I studied the work of Karl Pearson and Ronald Fisher in the Galton Lecture Theatre and Pearson Building. But it should have done.

Much of my family was murdered in the holocaust as part of a regime to eradicate a supposed “inferior race”. Yet, I still viewed Pearson, Fisher, and Galton (and others) as the Fathers of Statistics…

A demonstration of training, tuning, and comparing survival networks

I have received many questions about survival neural networks (‘survival networks’) in R, ranging from “is this even possible?” to “how do I install Python in R?” and “how can I tune these models?”. If you are an R user with an interest in survival networks then this is the article for you! This is not a tutorial of how to use the relevant packages but a demonstration to answer these questions.

This is an advanced demonstration and I’m going to assume you know: i) what survival analysis is; ii) what neural networks are (and common hyper-parameters); iii) basic machine…

Raphael Sonabend

Senior Data Scientist. Postdoc in Imperial DIDE RTM team. UCL PhD student. Specialise in machine learning survival analysis. R coder. www.raphaelsonabend.co.uk

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