Associate Professor
Nicole White
Faculty of Health,
School of Public Health & Social Work
Biography
Nicole is a statistician with the Australian Centre for Health Services Innovation (AusHSI) and the QUT Centre for Healthcare Transformation. Nicole's research has combined developments in statistical modelling with their application to understanding complex health data. Her independent research program applies text mining methods to uncover issues affecting health and medical research quality and reproducibility.Nicole is an experienced cross-disciplinary researcher who has collaborated with academics, clinicians, and decision-makers across a range of health and medical research disciplines. Her collaborative research with clinical partners has led to knowledge impact in critical care and hospital infection control and prevention. Nicole's contributions to these areas have allowed her to develop expertise in analysing various data, including from clinical trials, linked hospital datasets and large-scale observational studies.
Nicole leads the statistical analysis of large-scale research projects funded by the National Health and Medical Research Council and Medical Research Futures Fund. Nicole has co-authored over 80 peer-reviewed publications. She has been awarded over $9 million in research funding in the past five years as a Chief Investigator, including an Advance Queensland Industry Research Fellowship in 2020.
Nicole is an experienced supervisor of postgraduate students, with her students leading research that combines advanced statistical methods with their robust application to health data to improve decision-making.
Outside of QUT, Nicole serves on the editorial board for Infection, Disease and Health and the Statistical Society of Australia Mentoring Committee. She is a Science and Technology Australia Superstar of STEM (2021-2022 cohort).
Personal details
Positions
- Principal Research Fellow
Faculty of Health,
School of Public Health & Social Work
Keywords
Applied Statistics, Biostatistics, Health Services Research, Infectious diseases
Research field
Statistics, Other biomedical and clinical sciences, Public health
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
Professional memberships and associations
Memberships: Statistical Society of Australia
Publications
Research outputs by year
- White, N., Balasubramaniam, T., Nayak, R. & Barnett, A. (2022). An observational analysis of the trope 'A p-value of < 0.05 was considered statistically significant' and other cut-and-paste statistical methods. PLoS ONE, 17(3). https://eprints.qut.edu.au/228965
- White, N., Barnett, A., Hall, L., Mitchell, B., Farrington, A., Balcon, K., Paterson, D., Riley, T., Gardner, A., Page, K., Gericke, C. & Graves, N. (2020). Cost-effectiveness of an environmental cleaning bundle for reducing healthcare-associated infections. Clinical Infectious Diseases, 70(12), 2461–2468. https://eprints.qut.edu.au/132396
- Mitchell, B., Hall, L., White, N., Barnett, A., Halton, K., Paterson, D., Riley, T., Gardner, A., Page, K., Farrington, A., Gericke, C. & Graves, N. (2019). An environmental cleaning bundle and health-care-associated infections in hospitals (REACH): a multicentre, randomised trial. The Lancet Infectious Diseases, 19(4), 410–418. https://eprints.qut.edu.au/197640
- Wolkewitz, M., Lambert, J., von Cube, M., Bugiera, L., Grodd, M., Hazard, D., White, N., Barnett, A. & Kaier, K. (2020). Statistical analysis of clinical COVID-19 data: A concise overview of lessons learned, common errors and how to avoid them. Clinical Epidemiology, 12, 925–928. https://eprints.qut.edu.au/205313
- White, N., Benton, M., Kennedy, D., Fox, A., Griffiths, L., Lea, R. & Mengersen, K. (2017). Accounting for cell lineage and sex effects in the identification of cell-specific DNA methylation using a Bayesian model selection algorithm. PLoS One, 12(9), 1–18. https://eprints.qut.edu.au/112167
QUT ePrints
For more publications by Nicole, explore their research in QUT ePrints (our digital repository).
Supervision
Looking for a postgraduate research supervisor?
I am currently accepting research students for Honours, Masters and PhD study.
You can browse existing student topics offered by QUT or propose your own topic.
Current supervisions
- Exploring the impact of modifiable risk factors on health-related quality of life (HRQoL) and economic costs
PhD, Associate Supervisor
Other supervisors: Dr David Brain
Completed supervisions (Doctorate)
- Hydrogel Spacers in External Beam Radiation Therapy of Prostate Cancer: Patient Selection and Cost-Effectiveness (2020)
- Statistical Inference for the Investigation of Cell-Type Heterogeneity in DNA Methylation Data (2019)
- Ensemble Statistical Modelling of Risk Factors in Health (2018)
- Statistical methods for modelling falls and symptoms progression in patients with early stages of Parkinson's disease (2018)
- Bayesian Approaches to Issues Arising in Spatial Modelling (2017)
- Bayesian Spatiotemporal Modelling of Chronic Disease Outcomes (2017)
- Bayesian Estimation of the Number of Components in Mixture and Hidden Markov Models: Methods and Applications (2016)
The supervisions listed above are only a selection.