Dr Elizabeth Korevaar
Research Fellow in Biostatistics
Melbourne School of Population and Global Health
20 Scholarly works
0 Projects
HIGHLIGHTS
2025
Journal article
Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: a data note
DOI: 10.1186/s13104-024-07055-52025
Journal article
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))
DOI: 10.1016/j.jclinepi.2025.1117062025
Journal article
The Banksia plot: a method for visually comparing point estimates and confidence intervals across datasets
DOI: 10.1016/j.jclinepi.2024.1115912024
Journal article
Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study
DOI: 10.1186/s12874-024-02147-z2024
Journal article
Investigation of reporting bias in interrupted time series (ITS) studies: a study protocol
DOI: 10.12688/f1000research.145927.22024
Journal article
Investigation of bias due to selective inclusion of study effect estimates in meta-analyses of nutrition research
DOI: 10.1002/jrsm.17062024
Journal article
Investigation of reporting bias in interrupted time series (ITS) studies: a study protocol
DOI: 10.12688/f1000research.145927.1
RECENT SCHOLARLY WORKS
2024
Journal article
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
DOI: 10.1016/j.jclinepi.2023.1112442023
Journal article
PRECeDe Pilot: Prevention of neonatal respiratory distress with antenatal corticosteroids before elective caesarean section in women with diabetes - a feasibility randomised trial
DOI: 10.1111/1471-0528.175132023
Journal article
Evaluation of statistical methods used to meta-analyse results from interrupted time series studies: A simulation study
DOI: 10.1002/jrsm.1669