Dr A Y M Alamgir Kabir
Conjoint Lecturer
PhD (UNSW): Epidemiology- Australian national immunisation program evaluation in Indigenous and medically at-risk children
MPhill (University of Rajshahi, Bangaladesh): Statistics
MSc (University of Rajshahi, Bangaladesh): Statistics
BSc (University of Rajshahi, Bangaladesh): Statistics
Medicine & Health
George Institute for Global Health
I am a Biostatistician and Epidemiologist with expertise in linked data analytics. My PhD in epidemiology focusing on assessing Australia's national immunization program for Aboriginal and medically at-risk children. I hold MPhil, MSc, and BSc degrees in Statistics. My research interests are on big data analytics and the application of advanced statistical methods in public health.
With over 18 years of experience in public health research, I possess more than 6 years of expertise in analysing routinely collected data and 12 years in Randomized Controlled Trials (RCTs). I have contributed to various research projects, concentrating on health system analysis, evaluation of vaccination programs using routinely collected data, nutrition, and infectious disease.
My proficiency extends to diverse administrative datasets, including the Admitted Patient Data Collection (APDC), Emergency Department Data Collection (EDDC), Medicare Benefits Schedule (MBS), Pharmaceutical Benefits Scheme (PBS), Cancer Registry, Registries of Births, Deaths, and Marriages (RBDM), Australian Immunisation Registry (AIR), Perinatal Data Collection (PDC), and LUMOS.
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I am a trained Biostatistician and Epidemiologist, specialising in linked/big data analytics. My research focuses on health systems, chronic diseases, infectious diseases, and the application of advanced statistical methods in public health. Proficient in R, SAS, Stata, and SQL server, I bring advanced analytical skills to my work.
Throughout my career, I have actively contributed to various research projects, with a particular emphasis on nutrition, cholera vaccine, and primary healthcare, multimorbidity and the evaluation of vaccination programs using routinely collected data. These efforts have resulted in over 26 publications with 2188 Google Scholar as of February 7, 2024 (https://scholar.google.com.au/citations?user=LDj40zgAAAAJ&hl=en).