Where next for the reproducibility agenda in computational biology? - Joanna Lewis; Charles E. Breeze; Jane Charlesworth; Oliver J. Maclaren; Jonathan Cooper (BMC Syst. Biol., 2016)

A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium. - Oliver J. Maclaren; Aimée Parker; Carmen Pin; Simon R. Carding; Alastair J. M. Watson; Alexander G. Fletcher; Helen M. Byrne; Philip K. Maini (PLoS Comput. Biol., 2017)

What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems. - Oliver J. Maclaren; Ruanui Nicholson (CoRR, 2019)

Columnwise neighborhood search: A novel set partitioning matheuristic and its application to the VeRoLog Solver Challenge 2019. - Caroline J. Jagtenberg; Oliver J. Maclaren; Andrew J. Mason; Andrea Raith; Kevin Shen; Michael Sundvick (Networks, 2020)

Profile-Wise Analysis: A profile likelihood-based workflow for identifiability analysis, estimation, and prediction with mechanistic mathematical models. - Matthew J. Simpson; Oliver J. Maclaren (PLoS Comput. Biol., 2023)

Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New Zealand. - Michael J. Plank; Leighton M. Watson; Oliver J. Maclaren (PLoS Comput. Biol., 2024)

Generalised likelihood profiles for models with intractable likelihoods. - David J. Warne; Oliver J. Maclaren; Elliot J. Carr; Matthew J. Simpson; Christopher C. Drovandi (Stat. Comput., 2024)

Data space inversion for efficient predictions and uncertainty quantification for geothermal models. - Alex de Beer; Andrew Power; Daniel Wong; Ken Dekkers; Michael Gravatt; Elvar K. Bjarkason; John P. O'Sullivan; Michael J. O'Sullivan; Oliver J. Maclaren; Ruanui Nicholson (Comput. Geosci., 2025)