Rex Parsons

I’m currently a Senior Data Scientist at Nous group.

In my recently completed PhD at AusHSI (QUT), I worked on prognostic models for inpatient falls using electronical medical records and developed software to evaluate/optimise clinical prediction models from a health economic perspective. At Nous, I spend most of my time either analysing health data for large healthcare evaluations or developing Shiny apps and R packages for both client facing or internal use.

In general, I enjoy learning new things, programming with R, and applied problems relating to healthcare and biomedical research.

Outside of work, I enjoy riding motorbikes, filter coffee and strength training.

selected publications

GLMMcosinor: Flexible cosinor modeling with a generalized linear mixed modeling framework to characterize rhythmic time series.

Parsons, Rex, Jayasinghe, Oliver, White, Nicole, Chunduri, Prasad, and Rawashdeh, Oliver

bioRxiv 2024
predictNMB: An R package to estimate if or when a clinical prediction model is worthwhile

Parsons, Rex, Blythe, Robin, Barnett, Adrian, Cramb, Susanna, and McPhail, Steven

Journal of Open Source Software 2023
Integrating economic considerations into cutpoint selection may help align clinical decision support towards value-based healthcare

Parsons, Rex, Blythe, Robin, Cramb, Susanna, and McPhail, Steven

Journal of the American Medical Informatics Association 2023
CircaCompare: a method to estimate and statistically support differences in mesor, amplitude and phase, between circadian rhythms

Parsons, Rex, Parsons, Richard, Garner, Nicholas, Oster, Henrik, and Rawashdeh, Oliver

Bioinformatics 2020