Often you have a truck load of potential explanatory variables, that all might interact with each other, giving a multitude of potential ways the explanatory variables could relate to the dependent variable. You could painstakingly create every possible model or you could do a step-wise regression. Step-wise regression automatically adds and subtracts variables from your model and […]
Plastics are inexpensive, durable, lightweight, versatile material composed of long hydrocarbon chains. These properties have led to widespread use of plastics particularly in single-use packaging. Unfortunately, this has caused a global plastic pollution problem with between 5 and 13 million tonnes of plastic entering our oceans annually. Microplastics are particles of submillimetre plastic. Microplastics have […]
A number FBMH academics and students played a central role in a high profile event which took place recently at the House of Lords. The event, arranged by the Division of Development and Alumni Relations (DDAR), brought together over 200 individuals in an effort to engage with a wider pool of alumni and friends and […]
The organisers invited excellent speakers to tell their stories to inspire the next generation of thinkers. Speakers included Dame Prof. Nancy Rothwell and Chancellor Lemn Sissay. The title of my talk was: Usain Bolt shaves his legs.
USE OF COMMON PAIN RELIEVING DRUGS CORRELATES WITH ALTERED PROGRESSION OF ALZHEIMER’S DISEASE AND MILD COGNITIVE IMPAIRMENT Jack Rivers-Auty , Alison E. Mather , Ruth Peters , Catherine B. Lawrence , David Brough, Background: Our understanding of the pathophysiological mechanisms of Alzheimer’s disease (AD) remains relatively unclear; however, the role of neuroinflammation as a key […]
Utilizing R statistical software and Shiny R package I’ve developed web apps for the exploration of RNAseq and epidemiological datasets. Not all NSAIDs are the same: Differing effects of pain-relieving drugs on cognitive decline in the Alzheimer’s Disease Neuroimaging Initiative dataset. https://braininflammationgroup-universityofmanchester.shinyapps.io/Rivers-Auty-ADNI/ Citation: Rivers-Auty J, Mather AE, Peters R, Lawrence CB, Brough D (2018) Use […]
Sometimes you know your data can’t follow a normal distribution even after transformation – such as count data or yes/no data. If this is the case, then generalized mixed modelling is the way to go. Basically it’s very similar to general linear modelling which assumes normality of the population distribution, but instead it assumes a […]