Blog Archives

Latent variable regression – an idea

This post arose because of a discussion with some colleagues about the measurement of utility and health-related quality of life in cancer. It covers latent variable regression and an attempt to use it to describe the relationship between a common

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Running OpenBUGS through R

This is just a quick note on using OpenBUGS in R. This is particularly handy if you need to run a series of models on a data set, or if you need to manipulate the output of Bayesian analyses in

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Some software options for Bayesian statistics on 64-bit Linux

So, you’ve been living the dream that is 64-bit Linux ownership, but you want to do Bayesian stats using the BUGS language. We’ve all been there…Okay, this is kind of niche, but here are some notes on what you can

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Ebola screening

What are the arguments over ebola screening really about? Here’s my go at explaining, with a bit of help from the Reverend Bayes.

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Bayesian statistics

Bayesian approaches to statistics use simple ideas about contingent probability (i.e. the probability of one thing, given that another thing is true). They extend these ideas to look at the extent to which we should believe one thing, given a

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