Susanna is a biostatistician skilled in using complex modelling techniques to investigate the spatial and spatio-temporal patterns of diseases, risk factors and outcomes in Queensland and across Australia. Her primary research interest is in using complex models to understand how cancer outcomes vary by location. Susanna has worked in epidemiological research for over a decade, and her publications have been cited over 1500 times. Susanna’s research has also been used by Queensland Health in setting their cancer care objectives.
Susanna previously worked at the School of Population Health, University of Queensland and was involved with large epidemiological projects, including the Australian Burden of Disease study, among others.
Dengue fever is one of the most serious health issues in the Asia-Pacific region, affecting more than 100-million people every year. ACEMS Researchers carried out a systematic review of the different spatial and spatio-temporal models that are looked into the disease.
Prizes, awards and special recognition
Best of the best non-student poster pitch, International Society for Clinical Biostatistics and Australian Statistical Conference was awarded to Susanna Cramb. Awarded from the International Society for Clinical Biostatistics and Australian Statistical Conference.
Finalists for the Poster Pitch Competition (the top 3 student and non-student pitchers determined by chair and delegate voting) will be asked to participate in the ‘Best of the Best’ poster session which will be held in the Main Auditorium from 10-10.30am on Wednesday morning. Finalists will notified about their presentation in the ‘Best of the Best’ poster session by email no later than 8pm on Tuesday evening, so please check your email that evening to find out whether you have been selected to participate. The winners (one student and one non-student delegate) will be announced during the closing ceremony at 1700 – 1730 on Thursday afternoon.
Aswi, A.., Mengersen KL., Cramb S., Hu W., & White G.
(2018). Comparing Spatio-Temporal models using CARBayes: An application to dengue fever in Makassar, Indonesia. The joint international society for clinical Biostatistics and Australian Statistical Conference 2018.
Cheng, T. D., Cramb S., Baade P. D., Youlden D. R., Nwogu C. J., & Reid M. E.
(2016). The international epidemiology of lung cancer: Latest trends, disparities, and tumor characteristics. Journal of Thoracic Oncology. 11(10), 1653-1671. doi: 10.1016/j.jtho.2016.05.021
Baade, P. D., Cramb S., Dasgupta P., & Youlden D.
(2016). Estimating cancer survival - improving accuracy and relevance. Australian and New Zealand Journal of Public Health. 40(5), 403-404. doi: 10.1111/1753-6405.12610
Baade, P. D., Dasgupta P., Dickman P. W., Cramb S., Williamson J. D., Condon J. R., et al.
(2016). Quantifying the changes in survival inequality for Indigenous people diagnosed with cancer in Queensland, Australia. Cancer Epidemiology. 43, 1-8. doi: 10.1016/j.canep.2016.05.002