Dr. Victoria Landsman was supposed to be a math teacher. And she was heading down that path, initially during her three years at the Pedagogical Institute in her native Ukraine and, later, at the Hebrew University of Jerusalem in Israel, where she was pursuing a BSc in mathematics.
It was while doing her undergraduate degree in math that she took a different direction. She saw a notice inviting math students to complete their education in statistics. "It caught my eye immediately," says Landsman. "I was finding math to be too theoretical. I wanted something more applied, and I thought statistics might be the answer."
It turns out she was right. She finished her BSc in math with a minor in statistics, and then completed her master's and PhD in statistics at Hebrew University of Jerusalem. When she started her post-doctoral fellowship at the U.S. National Cancer Institute in Bethesda, Maryland, she was called on to apply her statistical knowledge to the analysis of health data to solve real-life problems—in this case, problems in cancer epidemiology.
"At that point, I knew biostatistics was what I truly wanted to do," she says. “It's rewarding to contribute statistical knowledge to a research team that is making an important difference to people’s lives and health.”
After her fellowship in the U.S., Landsman moved to Toronto where she worked as a research biostatistician at the Centre for Global Health Research at St. Michael's Hospital, the Ontario Institute for Cancer Research and the Canadian Memorial Chiropractic College. In early 2016, she joined the Institute for Work & Health's scientific staff, where she brings her statistical expertise in causal inference, survey sampling and analysis of large-scale population-based linked data.
Auditing the internal responsibility system in Ontario's mining industry
Implementation of a case definition for severe traumatic injury
Surveillance of severe occupational and non-occupational injuries in Ontario
Time trends in duration of disability following low-back injury
Ontario Leading Indicators Project (OLIP)
Landsman V, Lou WYW, Graubard BI. Estimating survival probabilities by exposure levels: utilizing vital statistics and complex survey data with mortality follow-up. Statistics in Medicine, 2015; 34(11):1864-1875.
Jha P, Ramasundarahettige C, Landsman V, Rostron B, Thun M, Anderson R, McAffe T, Peto R. 21st-century hazards of smoking and benefits of cessation in the United States. New England Journal of Medicine, 2013; 368:341-350.
Landsman V, Pfeiffer RM. On estimating average treatment effects for multiple treatment groups. Statistics in Medicine, 2013; 32(110:1829-1841.
Landsman V, Graubard BI. Efficient analysis of case-control studies with sample weights. Statistics in Medicine, 2013; 32(2):347-360.