Rate My Professor Colin Cryer

Colin Cryer is an Honorary Research Associate Professor in the Department of Preventive and Social Medicine at the University of Otago. He holds a PhD and specializes in injury epidemiology and prevention. His career includes serving as Associate Professor at the University of Otago's Injury Prevention Research Unit from 2004 to 2013, Senior Researcher at the University of Kent's Centre for Health Services Studies from 2000 to 2004, and Honorary Senior Lecturer at the University of Brighton and Sussex Medical School from 2006 to 2012. Cryer's research centers on developing and validating indicators for measuring injury incidence and severity, addressing undercounting of injury deaths, and improving case definitions for serious injuries using quantitative methods and hospital data. He has made significant contributions to understanding work-related fatalities, farm safety interventions, and trends in non-fatal injuries, particularly in New Zealand contexts such as legislative impacts and Māori ethnicity identification in injury statistics.

Cryer's extensive publication record underscores his influence in the field, with over 3,300 citations. Key works include 'Evaluation of the impact of legislative reform on worker fatalities, New Zealand' (2022), 'Missing cases of injury death: use of quantitative methods and case reviews to inform future improvements in case definition' (2021), 'Use of mixed methods to investigate case definitions to improve the identification of serious injury cases from hospital episode data' (2019), 'Using hospital discharge data for injury research or surveillance? An observational study illustrating the impact of administrative change' (2019), 'Empirical validation of the New Zealand serious non-fatal injury outcome indicator for “all injury”' (2017), 'Towards valid “serious non-fatal injury” indicators for international comparisons based on probability of admission estimates' (2017), 'An Outcome Evaluation of a New Zealand Farm Safety Intervention: A Historical Cohort Study' (2014), and 'The Epidemiology of Life-Threatening Work-Related Injury—A Demonstration Paper' (2014). His epidemiological analyses employ statistical methods like linear regression to support injury prevention policies and international comparisons. Cryer's involvement in collaborative projects has advanced global injury statistics methodologies.