Research Fellow
E: qingweil@nswcc.org.au
Research
Qingwei’s research interests include cancer epidemiology and the evaluation of cancer prevention programs and health services using routinely collected cancer registry and linked health administrative data. She has led projects to investigate the risk of progression to metastatic prostate cancer and colorectal cancer, and rural-urban disparities in cancer outcomes. Qingwei recently led a project on statistical projections of lung cancer mortality in Australia and NSW which involved developing and validating statistical models incorporating past smoking data to estimate future lung cancer mortality rates under different tobacco control scenarios. Qingwei’s current work focuses on developing statistical methods to project future incidence and mortality rates in Australia for various cancer types, for all cancers combined.
Qualifications
- PhD, The University of Sydney, Australia
- Master of Applied Statistics, Macquarie University, Australia
- Bachelor of Science (Biology), Beijing Normal University, Beijing, China
Academic affiliations
Honorary Research Fellow, the Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney
Current student supervision
Qingwei is available to supervise Masters or PhD students enrolled at the University of Sydney.
Selected key publications
Luo Q, Steinberg J, O’Connell DL, Yu XQ, Caruana M, Wade S, Pesola F, Grogan PB, Dessaix A, Freeman B, Dunlop S, Sasieni P, Blakely T, Banks E, Canfell K. Lung cancer mortality in Australia in the twenty-first century: How many lives can be saved with effective tobacco control? Lung Cancer, 2019; 130: 208-215. https://doi.org/10.1016/j.lungcan.2019.02.028
Luo Q, Yu XQ, Wade S, Caruana M, Pesola F, Canfell K, O’Connell D. Lung cancer mortality in Australia: Projected outcomes to 2040. Lung Cancer, 2018; 125: 68-76. https://doi.org/10.1016/j.lungcan.2018.09.001
Yu XQ, Luo Q*, Hughes S, Wade S, Caruana M, Canfell K, O’Connell D. Statistical projection methods for lung cancer incidence and mortality: a systematic review. BMJ Open 2019;9:e028497. http://dx.doi.org/10.1136/bmjopen-2018-028497. * equal first author.
Luo Q, Egger S, Yu XQ, Smith DP, O’Connell DL. Validity of using multiple imputation for “unknown” stage at diagnosis in population-based cancer registry data. PLoS ONE, 2017; 12(6): e0180033. https://doi.org/10.1371/journal.pone.0180033
Luo Q, Yu XQ, Smith DP, Goldsbury DE, Cooke-Yarborough C, Patel MI, O’Connell DL. Cancer related hospitalisations and ‘unknown’ stage prostate cancer: a population-based record linkage study. BMJ Open, 2017; 6: e014259. http://dx.doi.org/10.1136/bmjopen-2016-014259
Luo Q, O’Connell DL, Kahn C, Yu XQ. Colorectal cancer metastatic disease progression in Australia: a population-based analysis. Cancer Epidemiology, 2017; 49C: 92-100. https://doi.org/10.1016/j.canep.2017.05.012
Luo Q, Yu XQ, Smith DP, O’Connell DL. A population-based study of progression to metastatic prostate cancer in Australia. Cancer Epidemiology, 2015; 39(4): 617-622. https://doi.org/10.1016/j.canep.2015.04.013