Ashok Chaurasia

Research interests

My research interests pertain to innovative application of statistical methods in health research; these include application of an existing statistical method or development of (new) analytical (statistical) tools as warranted by the health research topic. My research finds their appreciation and application in various disciplines of applied science. Specifically, my research topics include:

• Incomplete or missing data
• Model selection
• Longitudinal models
• Computational statistics
• Signal saturation rates

The above topics have been used extensively in dissertations (21+) and papers (16+) authored by students who I have mentored as a committee member or supervisor. Since joining the School of Public Health Sciences in September 2015, these topics have been used to address pressing questions in the areas of nutrition, epidemiology, cancer care, pediatrics, nephrology, workers health, aging, maternal and child health, and more. A list of my citations can be found on my Google Scholar page.

Graduate supervision and student opportunities 

I am currently accepting applications from graduate students with research interests related to:

• Applied statistics and computational statistics to models open problems in health research

Education

BSc Statistics (with Honours), University of Texas at San Antonio

BSc Mathematics (with Honours), University of Texas at San Antonio

MSc Statistics, University of Texas at San Antonio

PhD Statistics, University of Connecticut

Selected publications

See Google Scholar for full list publications.

*Designates students in joint paper

• Chaurasia, A. (2023). Combining rules for F- and Beta-statistics from multiply-imputed data. Econometrics and Statistics, 25, 51–65.
• Chaurasia, A. (2022). Model-modified BIC as a competitor of BIC variants for model selection in regression and order selection in time series. Communications in Statistics - Theory and Methods, 52(23), 8425–8453.
• Doggett, A., Chaurasia, A., Chaput, J. P., & Leatherdale, S. T. (2024). Assessing the impact of missing data in youth overweight and obesity research: complete case analysis versus multiple imputation. International Journal of Social Research Methodology, 1-13.
• Doggett, A., Chaurasia, A., Chaput, J. P., & Leatherdale, S. T. (2023). Using classification and regression trees to model missingness in youth BMI, height and body mass data. Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice, 43(5), 231.
• *Marasinghe, K. M., Chaurasia, A., Adil, M., Liu, Q. Y., Nur, T. I., & Oremus, M. (2022). The impact of assistive devices on community-dwelling older adults and their informal caregivers: a systematic review. BMC geriatrics, 22(1), 897.
• Hosseini, S., Chaurasia, A., & Oremus, M. (2023). The association between religious participation and executive function in middle-and older-aged adults: A cross-sectional analysis of the Canadian Longitudinal Study on Aging. The International Journal for the Psychology of Religion, 33(1), 36-51.