AI is simply a tool that allows me to do what I could already do faster.

AI is simply a tool that allows me to do what I could already do faster.

Background Clinical prediction models are often created using large routinely collected datasets. It is essential that prediction models are developed with appropriate data and methods and transparent...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Initial results from scanning through Excel files belonging to 600 published scientific papers.

Clinical prediction models are often created using large routinely collected datasets. It is essential that prediction models are developed with appropriate data and methods and transparently reported...

Clinical prediction models are often created using large routinely collected datasets. It is essential that prediction models are developed with appropriate data and methods and transparently reported...

In this multi-part blog series I outline some steps to help start learning R. Part 1 is a background on R, packages and resources and tips on how to get started learning.

When it comes to health and medical research, doing the right thing is critical, especially when it impacts patient outcomes. Alexander Gibson's research focuses on identifying statistical and researc...

We don’t need more science, we need better science.

The Prediction model Risk Of Bias ASsessment Tool (PROBAST) is used to assess the quality, risk of bias, and applicability of prediction models or algorithms and of prediction model/algorithm studies....

How I see the future of meta-research

Assessing the value that healthcare services, technologies and treatments provide to patients informs how we use funding for healthcare. Professor Steven McPhail,…