CHEUNG Yin Bun is a Professor at Duke-NUS Medical School, Singapore, and Adjunct Professor at Tampere University, Finland. Prior to joining Duke-NUS in 2012, he served as a senior lecturer at the London School of Hygiene & Tropical Medicine and Chief Scientific Officer at the Singapore Clinical Research Institute.
He received his degrees in social science, medical demography, statistics and paediatric epidemiology from institutions in Hong Kong, Singapore, and the United Kingdom. He has broad interest in the studies of child health, statistical methodology, and health and quality of life outcomes.
As of 2021, he is the principal investigator of a statistical methodology study to improve the design and analysis of vaccine and infectious disease studies (funded by the National Medical Research Council) and a study to evaluate the measurement of quality of life of family caregivers of patients with chronic heart disease (funded by the Lien Center for Palliative Care).
He is the author of Statistical Analysis of Human Growth and Development (CRC Press, 2014) and co-author of Survival Analysis: A Practical Approach (Wiley, 2006). He is the developer of the Singapore Caregiver Quality of Life Scale.
Design and analysis of studies of vaccines and pharmaceutical preventive measures against infectious diseases
Recent developments in vaccines and pharmaceutical prevention measures often involve conditions that can recur, such as acute gastroenteritis, malaria and pneumonia, as opposed to diseases that can only occur once in a lifetime. In a series of research projects funded by the National Medical Research Council, Professor Cheung and his team have been investigating efficient and robust approaches to study design and statistical analysis of recurrent events, covering individual and cluster randomized trials, case-control studies and within-unit comparative methods. These developments have been motivated by and applied to studies of child health in low-income countries.
Quantification of patients’ and caregivers’ quality of life and health utility
Professor Cheung and his team develop and evaluate methods and measurement scales to quantify patients’ and caregivers’ quality of life and health utility, with focus on suitability and usability in Asian and clinical settings. Some recent achievements include the development of the Singapore Caregiver Quality of Life Scale and its short forms and sample size determination formula for EQ-5D-5L value set studies. These developments have been motivated by and applied to studies of patients with palliative or long-term care needs and their caregivers.
Software Codes & QoL Questionnaires
Software codes and quality-of-life questionnaires are available at http://blog.nus.edu.sg/cheungyb/research/
Maternal and Child Health
- Cheung YB, Khoo KS, Karlberg J, Machin D. Association between psychological symptoms in adults and growth in early life: longitudinal follow up study. British Medical Journal 2002; 325; 749-751.
- *Grantham-McGregor S, *Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B. Developmental potential in the first 5 years for children in developing countries. Lancet 2007; 369: 60-70. (*lead authors)
- Cheung YB, Zaman SMA, Nsekpong ED, Van Beneden CA, Adegbola RA, Greenwood B, Cutts FT. Nasopharyngeal carriage of Streptococcus pneumoniae in Gambian children who participated in a 9-valent pneumococcal conjugate vaccine trial and in their younger siblings. Pediatric Infectious Disease Journal 2009; 28: 990-995.
- Hallamaa L, Cheung YB, Maleta K, Luntamo M, Ashorn U, Gladstone M, Kulmala T, Mangani C, Ashorn P. Child health outcomes after presumptive infection treatment in pregnant women: A randomized trial. Pediatrics 2018; 141(3): e20172459.
- Loy SL, Cheung YB, Chan JKY, Soh SE, Godfrey KM, Tan KH, Shek LP, Chong YS, Lek N, Yap F, Teoh OH, Yung CF, Thoon KC. Timeliness of childhood vaccination coverage: the Growing Up in Singapore Towards Healthy Outcomes Study. Prevention Science 2020; 21: 283-292.
- Cheung YB. Zero-inflated models for regression analysis of count data: a study of growth and development. Statistics in Medicine 2002; 21: 1461-1469.
- Cheung YB, Xu Y, Tan SH, Cutts F, Milligan P. Estimation of intervention effects using first or multiple episodes in clinical trials: The Andersen-Gill model re-examined. Statistics in Medicine 2010; 29: 328-336.
- Cheung YB, Xu Y, Remarque EJ, Milligan P. Statistical estimation of antibody concentration using multiple dilutions. Journal of Immunological Methods 2015; 417: 115-123.
- Xu J, Lam KF, Chen F, Milligan P, Cheung YB. Semiparametric estimation of time-varying intervention effects using recurrent event data. Statistics in Medicine 2017; 36(17): 2682-2696.
- Cheung YB, Ma X, Lam KF, Li J, Yung CF, Milligan P, Mackenzie G. Statistical inference in matched case-control studies of recurrent events. International Journal of Epidemiology 2020; 49: 996-1006.
Health and Quality of Life Outcomes
- Cheung YB, Goh C, Thumboo J, Khoo KS, Wee J. Variability and sample size requirements of quality of life measures: A randomised study of three major questionnaires. Journal of Clinical Oncology 2005; 23: 4936-44.
- Seow Y, Cheung YB, Qu L, Yee AC. Trajectory of quality of life for poor prognosis Stage 5d chronic kidney disease with and without dialysis. American Journal of Nephrology 2013; 37:231-238.
- Wee HL, Yeo KK, Khoo E, Cheung YB. Mean rank, equipercentile and regression mapping of World Health Organization Quality of Life Brief (WHOQOL-BREF) to EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) utilities. Medical Decision Making 2018; 38(3): 319-333.
- Cheung YB, Neo SHS, Teo I, Yang GM, Thumboo J, Chia JWK, Kho ARK, Qu DLM, Che WL, Lau A, Wee HL. Development and evaluation of a quality of life measurement scale in English and Chinese of family caregivers of patients with advanced cancers. Health and Quality of Life Outcomes 2019; 17(1): 35.
- Cheung YB, Neo SHS, Yang GM, Lee GL, Teo I, Koh ARX, Thumboo J, Wee HL. Two valid and reliable short forms of the Singapore Caregiver Quality of Life Scale were developed: SCQOLS-10 and SCQOLS-15. Journal of Clinical Epidemiology 2020; 121: 101-108.