🧠 Projects & Presentations

🧪 Research Projects

Adaptive trials in Implementation Science

This project applies Bayesian adaptive trial designs to optimise complex, multi-component implementation strategies in real-world settings. Leveraging tools such as arm-dropping, response-adaptive allocation, and factorial designs, the aim is to efficiently identify effective components of implementation interventions. The goal is to accelerate scale-up by improving trial efficiency, reducing uncertainty, and tailoring interventions to context.

  • PhD student: Erin Nolan
  • Collaborators: Dr Alix Hall, Prof Liz Holliday, Dr Daniel Barker

Pre-Print Erin Nolan, Joshua Dizon, Christopher Oldmeadow et al. Properties of adaptive, cluster-randomised controlled trials with few clusters: a simulation study, 14 May 2025, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-5861994/v1]

Pragmatic Target Trials

Developing methods and guidelines for Target Trials in pragmatic evaluations, like cluster comparative studies. Major applied project as part of the evaluation and impact of the Diabetes Alliance Project Plus (DAP+).

  • PhD Student: Josh Dizon
  • Collaborators: Prof Alexis Hure, Dr Daniel Barker, Dr Patrick Skippen

Pre-Print Joshua Aaron Tuy Dizon, Daniel Barker, Alexis J Hure, Christopher Oldmeadow, Patrick Skippen, Shamasunder Acharya. Does the Diabetes Alliance Program Improve Longer-term Health Outcomes of Patients with Type 2 Diabetes Attending Primary Care Practices? A Target Trial Protocol for Emulating a Cluster Trial Using Linked General practice and Tertiary Health Data. medRxiv 2025.05.13.25327569; doi: https://doi.org/10.1101/2025.05.13.25327569

AI-powered models to predict whether medical research will lead to translation

This project develops machine learning and large language model (LLM)-based tools to predict the translational potential of research projects. By analysing research outputs, contextual metadata, and downstream indicators such as patents, policy citations, and media coverage, the models aim to classify and forecast which projects are most likely to lead to real-world impact. The goal is to support strategic research investment, enhance impact planning, and accelerate pathways from discovery to translation.

  • PhD Student: Matthew Clapham
  • Collaborators: Dr Simon Deaming, Dr Carlos Riveros

Health Informatics in the Hunter

Building infrastructure to support rapid and secure access to NSW Health linked administrative and clinical data for research purposes.

  • Health Informatician: Shaun Grady
  • Collaborators: Port Waratah Coal Services, Hunter New England Health District

🧰 Playground

DesignPower

A comprehensive power, sample size and MDE application, with a focus on reproducibility and validity. A user friendly dashboard and command line utility.

🔖 Bibliographic Topic Tagger

A tool that tags your BibTeX bibliography files using AI to summarise and cluster papers into research themes.
View Project on GitHub

🔬 Simulation Playground

Code notebooks and demos for statistical design decisions, like blinded SSR, Bayesian stopping rules, and adaptive trials. (Coming soon)

🎤 Presentations

Interpreting Evidence from Real World Data

Breast Cancer Trials, ASM workshop, 2024

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I want to do research where do I start?

TROG, ASM, 2024

HMRI Data Sciences

HMRI Lunch’n’Learn series, 2022

Adaptive Trials

National Centre of Implementation Science, 2021

The Role of the biostatistician

Central Coast Health Distric Research Symposium, 2020