- MSc, Statistics, University of British Columbia
- Ph.D., Statistics, University of British Columbia
- Postdoctoral Research, Imperial College London
Lawrence McCandless is an associate professor with tenure in the Faculty of Health Sciences at SFU and an associate member of the Department of Statistics and Actuarial Sciences. He completed a PhD in statistics at the University of British Columbia with Paul Gustafson and Peter Austin. Then he did a postdoctoral fellowship in the Department of Epidemiology and Biostatistics, Imperial College London, with Sylvia Richardson and Nicky Best.
Lawrence McCandless is an accomplished scholar in the field of epidemiology and biostatistics. His research focuses on the fields of environmental epidemiology, child health research and mental health. He is the principal investigator on a CIHR grant investigating the effect of environmental in utero exposures (e.g. pesticides and heavy metals) on adverse pregnancy outcomes. Dr. McCandless's methodological expertise lies in the area of epidemiological data analysis and Bayesian statistics. He collaborates extensively both nationally and internationally. In addition to his position as associate professor in the Faculty of Health Sciences, Dr. McCandless is also an associate member of the Department of Statistics and Actuarial Sciences at SFU.
Dr. McCandless is passionate about teaching and training students in quantitative methods. He teaches courses in epidemiology, biostatistics, and scientific computing using the R programming language. He is the primary instructor for HSCI805 Intermediate Epidemiology, and HSCI410 Exploratory Data Analysis. He mentors a team of MSc, MPH and PhD students who are supported by operating grants from the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Canadian Institutes for Health Research (CIHR).
Publications and Activities
Available on his curriculum vitae.
- Biostatistical methods for estimating the cumulative impact of environmental contaminant exposures on preterm birth
- Bayesian bias modelling for causal inference in statistics
- Prenatal exposure to environmental contaminants and fetal growth: How to account for multiplicity when testing multiple statistical hypotheses?
- Expanding Housing First for homeless adults in Metro Vancouver
- Determinants of late initiation and treatment interruption in a context of the expansion of highly active antiretroviral therapy in BC