Rate My Professor Daniel Barker

Barker's research focuses on adaptive clinical trials and advanced statistical methods for trial analysis. Notable publications include 'Stepped wedge cluster randomised trials: a review of the statistical methodology used and available' (BMC Medical Research Methodology, 2016), 'Risk factors for asthma exacerbations during pregnancy: a systematic review and meta-analysis' (European Respiratory Review, 2022), 'Lumacaftor/ivacaftor reduces exacerbations in adults homozygous for Phe508del mutation with severe lung disease' (Journal of Cystic Fibrosis, 2020), and 'Adaptive designs for trials aiming to optimise implementation strategies and the effect of an additional interim analysis: a simulation study' (BMC Medical Research Methodology, 2025). He has secured involvement in grants totaling over $11 million, including NHMRC projects like the MOHMQuit trial ($1,081,240, 2020-2026) and Ready to screen ($1,999,923, 2021-2025). Awards include the Highly Commended Teaching Award from the School of Medicine and Public Health (2017), BCA Star Graduate from the Biostatistics Collaboration of Australia (2013), and nomination for the J.B. Douglas Postgraduate Award (2016). Barker co-supervises PhD students in clinical epidemiology and medical statistics.