Projects per year
Personal profile
Biography
Elizabeth is a Research Fellow in the Methods for Evidence Synthesis Unit at the School of Public Health and Preventive Medicine, Monash University. Elizabeth concentrates on biostatistical methods research for the design and analysis of interrupted time series studies and meta-analysis, as well as cluster randomised trials. Currently, she is the coordinator for the Cochrane Statistical Methods Group convenors and is the co-chair of the Statistical Society of Australia’s Mentoring Program. She was the Treasurer for the Victorian Branch of the Statistical Society of Australia from 2020 - 2021, and was the Deputy Treasurer in 2022.
Research interests
Elizabeth’s research interests include the examination of statistical methods for the analysis and meta-analysis of interrupted time series studies, and the design and analysis methods for cluster randomised trials.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master of Biostatistics, University of Melbourne
Award Date: 27 Jul 2018
Microbiology, Bachelor of Science (Honours), University of Melbourne
Award Date: 13 Dec 2016
Research area keywords
- Biostatistics
- Meta-analysis
- Interrupted time series designs
- Evidence synthesis
- Statistical methods
- Cluster randomised trials
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
-
Corrigendum to ʻMethodological systematic review recommends improvements to conduct and reporting when meta-analyzing interrupted time series studies’. Journal of Clinical Epidemiology 145 (2022) 55–69 (Journal of Clinical Epidemiology (2022) 145 (55–69), (S0895435622000129), (10.1016/j.jclinepi.2022.01.010))
Korevaar, E. (Leading Author), Karahalios, A., Turner, S. L., Forbes, A. B., Taljaard, M., Cheng, A. C., Grimshaw, J. M., Bero, L. & McKenzie, J. E. (Leading Author), 2025, (Accepted/In press) In: Journal of Clinical Epidemiology. 1 p., 111706.Research output: Contribution to journal › Comment / Debate › Other › peer-review
Open Access -
Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study
Korevaar, E., Turner, S. L., Forbes, A. B., Karahalios, A., Taljaard, M. & McKenzie, J. E., 10 Feb 2024, In: BMC Medical Research Methodology. 24, 1, 21 p., 31.Research output: Contribution to journal › Article › Research › peer-review
Open Access2 Citations (Scopus) -
Investigation of bias due to selective inclusion of study effect estimates in meta-analyses of nutrition research
Kanukula, R., McKenzie, J. E., Bero, L., Dai, Z., McDonald, S., Kroeger, C. M., Korevaar, E., Forbes, A. & Page, M. J. (Leading Author), Jul 2024, In: Research Synthesis Methods. 15, 4, p. 524-542 19 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Variation observed in consensus judgments between pairs of reviewers when assessing the risk of bias due to missing evidence in a sample of published meta-analyses of nutrition research
Kanukula, R., McKenzie, J. E., Cashin, A. G., Korevaar, E., McDonald, S., Mello, A. T., Nguyen, P. Y., Saldanha, I. J., Wewege, M. A. & Page, M. J. (Leading Author), Feb 2024, In: Journal of Clinical Epidemiology. 166, 10 p., 111244.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
Effect estimates can be accurately calculated with data digitally extracted from interrupted time series graphs
Turner, S. L., Korevaar, E., Cumpston, M. S., Kanukula, R., Forbes, A. B. & McKenzie, J. E., Jul 2023, In: Research Synthesis Methods. 14, 4, p. 622-638 17 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access7 Citations (Scopus)