Rate My Professor Angus Ng

Professor Ng's research specializations include biostatistics, statistical modelling and computation, image analysis, machine learning, and survival analysis. He has pioneered theoretical advancements in random-effects models for mixture model-based cluster analysis, enabling the analysis of complex heterogeneous and correlated data. His applied research contributes to multidisciplinary fields such as bioinformatics, oncology, comorbidity research, medical imaging, and health economics, with a focus on modelling and evaluating randomised trials, cohort studies, and longitudinal studies. With more than 160 publications accumulating over 9,000 citations and an H-index of 37 on Google Scholar, key works include the highly cited 'Top 10 algorithms in data mining' (2008, over 8,400 citations), 'Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study' (2021, 670 citations), 'Effect of a low-intensity PSA-based screening intervention on prostate cancer mortality: the CAP randomized clinical trial' (2018, 605 citations), 'Mortality of emergency abdominal surgery in high-, middle- and low-income countries' (2016, 392 citations), and 'Prolotherapy injections and eccentric loading exercises for painful Achilles tendinosis: a randomised trial' (2011, 335 citations). He also authored the monograph 'Mixture Modelling for Medical and Health Sciences'. Ng has received funding through the Griffith Discovery Project in 2024 for 'Advancing statistical models for clustering data with structured dependence', underscoring his impact on statistical methodology development and health research.