I write about applications of data and analytical techniques like statistical modelling and simulation to real-world situations. I show how to access and use data, and provide examples of analytical products and the code that produced them.
Science isn't broken, but journals are. A joint solution is emerging for disparate problems of access, quality control and replicability in scientific publishing.
My forecasts for the 2020 New Zealand general election are out, and predict a comfortable win for Jacinda Ardern's Labour Party either alone or in coalition.
Surgisphere, a tiny startup that claims to be providing large real world data for scientific health studies, is probably fabricating data at scale.
It turns out to be quite easy in R to reorder your bars within each clump, to produce a bad bar chart like the unfortunate example from Georgia doing the rounds.
Even when you adjust for test-positivity rates, the number of new COVID-19 cases per day in Texas is going up, although not as rapidly as the unadjusted numbers imply.
I look at several different ways of accounting for the information given us by high positive testing rates for COVID-19 and look at the impact on estimates of effective reproduction number at a point in time.
A pragmatic way of generating prediction intervals from a generalized linear model with a quasi-likelihood response, if you're prepared to make an additional assumption about the distribution of the response.
I demonstrate the power of the transformation functionality in the scales R package by re-creating an eccentric Fox News chart.
I have a go at quantifying how important different demographic profiles will be for country average case fatality rates for COVID-19.
I have a quick look at how the observed case fatality rate of COVID-19 has evolved over time so far.