Rex Parsons

Data Scientist at Health Policy Analysis & PhD Candidate at AusHSI, QUT

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I’m currently a Data Scientist at Health Policy Analysis and PhD Candidate at AusHSI.

Within my PhD, I’m worked on prognostic models for inpatient falls using electronical medical records data from Metro South Health and developed software to evaluate/optimise clinical prediction models through the lens of value-based care. At HPA, I spend most of my time either analysing health data or developing Shiny apps and R packages.

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

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

selected publications

  1. 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
  2. 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
  3. 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
  4. 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