Kopciuk, Karen

Preventive Oncology

Adjunct Associate Professor

Biography

Karen Kopciuk, Ph.D., is a Research Scientist in the Department of Cancer Epidemiology and Prevention Research, Alberta Health Services and is an Adjunct Associate Professor at the University of Calgary in the Departments of Mathematics and Statistics, Oncology and Community Health Sciences. She is currently serving in positions with a number of statistics organizations, including the Canadian Statistical Sciences Institute, the Statistical Society of Canada, the Western North American Region of the International Biometrics Society, the University of Calgary Biostatistics Centre, and the Rocky Mountain Data Science Network.

Karen’s methodological research focuses on time-to-event models and variable selection methods with applications in genetics and cancer. She is a strong proponent of collaborative research – especially through establishing respectful partnerships with Indigenous people so that we can make meaningful progress on the calls to action from the Truth and Reconciliation Commission of Canada.

Area of Focus

Summary of Research

Research expertise in statistical methodology, including survival data analysis, statistical genetics, and metabolomics data analysis.

Key Publications

  • Huang L, Kopciuk K, Lu X. Smoothed Jackknife Empirical Likelihood for Weighted Rank Regression with Censored Data. Biostatistics and Biometrics Open Access Journal 2018; 6(2):555685. DOI: 10.19080/BBOAJ.2018.06.555685
  • Palmnäs M, Kopciuk KA, Shaykhutdinov RA, Robson PJ, Mignault D, Rabasa-Lhoret R, Vogel HJ, Csizmadi I. Serum Metabolomics of Activity Energy Expenditure and its Relation to Metabolic Syndrome and Obesity. Scientific Reports (Published February 19, 2018). doi:10.1038/s41598-018-21585-6.
  • Farshidfar F, Kopciuk KA, Hilsden R, McGregor SE, Mazurak VC, Buie WD, MacLean A, Vogel HJ, Bathe OF. A Quantitative Multimodal Metabolomic Assay for Colorectal Cancer BMC Cancer 2018 Jan 4: 18(1):26.
  • Lu D, Weljie A, de Leon A, McConnell Y, Bathe OF, Kopciuk KA. Performance of variable selection methods using stability-based selection. BMC Research Notes 2017 Apr 4;10(1):143
  • Choi Y-H, Briollais L, Green J, Parfrey P, Kopciuk KA. Estimating successive cancer risks in Lynch Syndrome families using a progressive three-state model Statistics in Medicine. 2014 Feb 20;33(4):618-38. Epub 2013 Aug 15.

Area Of Focus

Summary Of Research

Research expertise in statistical methodology, including survival data analysis, statistical genetics, and metabolomics data analysis.

Key Publications

  • Huang L, Kopciuk K, Lu X. Smoothed Jackknife Empirical Likelihood for Weighted Rank Regression with Censored Data. Biostatistics and Biometrics Open Access Journal 2018; 6(2):555685. DOI: 10.19080/BBOAJ.2018.06.555685
  • Palmnäs M, Kopciuk KA, Shaykhutdinov RA, Robson PJ, Mignault D, Rabasa-Lhoret R, Vogel HJ, Csizmadi I. Serum Metabolomics of Activity Energy Expenditure and its Relation to Metabolic Syndrome and Obesity. Scientific Reports (Published February 19, 2018). doi:10.1038/s41598-018-21585-6.
  • Farshidfar F, Kopciuk KA, Hilsden R, McGregor SE, Mazurak VC, Buie WD, MacLean A, Vogel HJ, Bathe OF. A Quantitative Multimodal Metabolomic Assay for Colorectal Cancer BMC Cancer 2018 Jan 4: 18(1):26.
  • Lu D, Weljie A, de Leon A, McConnell Y, Bathe OF, Kopciuk KA. Performance of variable selection methods using stability-based selection. BMC Research Notes 2017 Apr 4;10(1):143
  • Choi Y-H, Briollais L, Green J, Parfrey P, Kopciuk KA. Estimating successive cancer risks in Lynch Syndrome families using a progressive three-state model Statistics in Medicine. 2014 Feb 20;33(4):618-38. Epub 2013 Aug 15.