Dr. Karen Kopciuk, PhD
Cumming School of Medicine, Department of Oncology
Cumming School of Medicine, Department of Community Health Sciences
Member at Arnie Charbonneau Cancer Institute
Arnie Charbonneau Cancer Institute
O'Brien Institute for Public Health
Fundamentals of OCAP®, Algonquin College, 2020
PhD Statistics, University of Waterloo, 2001
M.Math. Statistics, University of Waterloo, 1995
B.Sc. Statistics, University of Calgary, 1994
Dr. Karen Kopciuk is a research scientist in the Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services. She also has an appointment of Adjunct Associate Professor, Departments of Oncology, Community Health Sciences and Mathematics and Statistics with the University of Calgary.
Areas of Research
- Disease and genetic risk estimation
- Survival and multivariate data methods
- High dimensional data
- Cancer prevention and screening in Indigenous populations
My research interests include survival and multi-state models for estimating genetic and disease risks in families who carry a known mutated gene or putative genetic factors. Feature selection methods such as the group bridge estimator for high dimensional data including survival and other outcomes is another active research area. Lastly, projection to latent structures methods for metabolomics biomarkers measured over time are being developed to identify patterns of change. A current research project is evaluating factors associated with stage of cancer diagnosis to identify associated patterns of health behaviours using the Alberta Tomorrow Project data. Methods for ordinal scale response data and feature selection for complex, high dimensional health predictors factors are being created to address data-specific issues.
Cancer prevention and screening in Indigenous populations
My research interests focus on the early detection of cancer, identifying and evaluating risks for families who carry a gene mutation increasing their risk of cancer, evaluating cancer screening outcomes with and for First Nations and Metis peoples, and developing statistical methodology for survival and ordinal response data, especially in the context of high dimensional data.
In the News
- Nishtohtamihk li kaansyr (understanding cancer). . UToday. (2021)
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