Peter Baker

Dr Peter Baker is an Honorary Associate Professor at the Queensland Alliance for Agriculture and Food Innovation. From 2021-2023, Peter was an Honorary Senior Lecturer at the School of Public Health, University of Queensland. For twelve years until the end of 2020, he was a Senior Lecturer in Biostatistics at the School of Public Health and a senior statistical collaborator, advisor and consultant to several research projects in the Faculty of Medicine, School of Public Health. With fourty years experience as a statistical consultant and researcher, Peter has a passion for biometrics in agricultural research and biostatistics applied to public health and medical research. He also champions reproducible research and reporting and to this end has developed R and Make software to aid the workflow of data analysts in any field. As a statistical consultant and collaborator, he has contributed to many agricultural, genetic, public health and medical research projects. His contribution has ranged from advice on standard statistical approaches to the application of novel methods to improve statistical analysis or the development of new statistical methodology to fill a gap in the knowledge. Dr Baker is an Accredited Statistician (ASTAT) with the Statistical Society of Australia. efficient statistical computing using R, Make, Git and related software for the workflow of data analysis, reproducible research and reporting using R, Markdown, Quarto and Sweave, tailoring R functions and developing bespoke packages for specific statistical analyses, and applied statistical research in novel methods for epidemiological and medical research, including graphical models for multivariate data in epidemiology, statistical methods for modelling trajectories of alcohol consumption in youths, propensity score analysis to adjust for selection bias in observational studies, and Bayesian methods for epidemiological and medical MCMC studies.

[2025] Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data. Mortlock, Miranda Y., Carey, David, Murray, Hamish, Baker, Peter J. and Corry, Paul G. (2025). Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data. PLoS One, 20 (3) e0306266, 1-20. doi: 10.1371/journal.pone.0306266 [2024] Using latent variable modelling to identify etiological heterogeneity in preterm delivery. Betts, Kim Steven, Alati, Rosa and Baker, Peter (2024). Using latent variable modelling to identify etiological heterogeneity in preterm delivery. Journal of Paediatrics and Child Health, 60 (11), 741-748. doi: 10.1111/jpc.16660 [2023] Differences in temperatur