The Emergency departments leading the transformation of Alzheimer’s and dementia care (ED-LEAD) study, which I have written about in the past, is approaching the end of its third year. This multifactorial design evaluates three independent, yet potenti...

With the conflict in Iran causing worldwide disruption to energy markets, I have both a work and personal interest in energy supply in Pacific islands, which led me to this blog post. Here I look at just two aspects of energy: electricity generation, a...

Explaining Time-Series Forecasts with Sensitivity Analysis (ahead::dynrmf and external regressors)

📊 Dipping my toes into financial statements — income, balance sheet & cash flow. Still don’t fully get it, but slowly piecing together the story these numbers tell. Warren Buffett makes it look easy 😅 Baby steps! 🌱 Motivations ...

LLM-enhanced momentum investing combines traditional momentum signals with real-time news interpretation by large language models (LLMs). The idea is straightforward: stocks with strong past returns are candidates for momentum portfolios, but their inclusion and weight are refined by LLM-generated sentiment scores derived from firm-specific news. This hybrid approach improves risk-adjusted ...

Over the course of my career as a Data Scientist, I’ve worked on projects ranging from simple code reviews, to large application builds. For the most part, I have used R to do this. If you’re getting into coding or data science, one q...

x

Two hundred and fifty-five of the new packages submitted to CRAN in February were still there in mid-March. Here are my Top 40 picks in seventeen categories: Artificial Intelligence, Biology, Buddhism, Climate Science, Computational Methods, Dat...

TLDR: To test whether I could tell the difference between decaf coffees I conducted a highly scientific test (subject to […] The post Using science to find the best decaf appeared first on Giles.

tidySummarizedExperiment logo Contributors: Michael Love, Justin Landis, Pierre-Paul Axisa The generality of tidySummarizedExperiment makes it easy to interface with several tidyverse packages (e.g. dplyr, tidyr, ggplot2, purrr, plotly...

This post is the last in a series of seven on population and people movement issues in the Pacific. The first six posts featured code re-generating the charts I used in a keynote speech before the November 2025 meeting of the Pacific Heads of Planning ...

As football fans, we constantly hear pundits making bold predictions. But how often do they actually hit the targets? Let’s check the track record of three popular Russian football pundits. Vadim Lukomskiy, Denis Alkhazov, and Vladimir Grabchak ...

This post was written in collaboration with Joshua Marie. What Are Bayesian Neural Networks? Standard neural networks learn fixed weights during training and produce a single point estimate for each input — with no sense of how confident the model...

Disclaimer: This blog contains opinions that are of the authors alone and do not necessarily reflect the strategy of their respective organizations. Why this matters for pharmaverse programmers Clinical reporting is built on repeatable patter...

Here’s the new data. Could you summarise it like Alice did last year, and send me a report? The civil service and public bodies in the UK publish lots of datasets. These datasets can be really helpful when experimenting with data visualis...