Megan Farris
Megan Farris

As a Senior Research Associate, Megan supports Real-World Evidence, Evidence Generation, and Health Technology Assessment projects. She uses her experience across a breadth of research methodologies to develop materials for both public and private sector organizations. Megan’s skills include data analysis, biostatistics, epidemiological study design, literature review, and medical writing.

Before joining Medlior, Megan gained two years of experience as a Research Associate in the Department of Cancer Epidemiology and Prevention Research at Alberta Health Services.

Megan received an MSc in Epidemiology from the University of Calgary, for which her research focused on cancer epidemiology.

Recent Medlior publications by Megan

  • Chen G, Farris MS, Cowling T, Colgan S, Xiang P, Pericleous L, Rogoza RM, Tai MH, Anderson TJ. Treatment and Low-density Lipoprotein Cholesterol management in patients diagnosed with clinical Atherosclerotic Cardiovascular Disease in Alberta. Can J Cardiol. 2019; 35:7:884-894
  • Scory T, Chen G, Farris MS, Shih YH, Pinto L, Cowling T. Lipid-lowering therapy patterns and low-density lipoprotein-cholesterol management among patients with acute myocardial infarction in Alberta, Canada. American College of Cardiology (ACC).20/World Congress of Cardiology (WCC) Virtual; March-June 2020; Virtual.
  • Chen G, Farris MS, Cowling T, Tai M, Pinto L, Colgan S, Rogoza RM, Anderson TJ. Low-density Lipoprotein Cholesterol Management in Patients with Atherosclerotic Cardiovascular Diseases and Pre-existing Diabetes in Alberta, Canada. American Diabetes Association (ADA) 79th Scientific Sessions 2019; June 8, 2019; San Francisco, California
    https://www.medlior.com/wp-content/uploads/2020/02/ADA-Alberta-ASCVD-RWE-Poster_2019-5-1-FINAL-Read-Only.pdf
    https://www.medlior.com/low-density-lipoprotein-cholesterol-management-in-patients-with-atherosclerotic-cardiovascular-diseases-and-pre-existing-diabetes/
  • Jimenez-Zepeda VH, Chen G, Cowling T, Shaw E, Farris MS, Liu FF, Tay J. Multiple Myeloma Treatment Landscape from 2011 to 2017 in Alberta, Canada: Results from the Population-Based “Identifying Outcomes in Real-World Multiple Myeloma” (INFORMM) Study. Presented at the 24th Congress of the European Hematology Association (EHA); June 13–16, 2019; Amsterdam, Netherlands.
    https://www.medlior.com/wp-content/uploads/2020/02/Zepeda-et-al-EHA-2019_Jun-5.pdf
    https://www.medlior.com/eha-2019-identifying-outcomes-in-real-world-multiple-myeloma/
  • Tay J, Chen G, Cowling T, Shaw E, Farris MS, Liu FF, Jimenez-Zepeda VH. Early mortality following diagnosis of multiple myeloma from 2011 to 2016 in Alberta, Canada: Initial results from the population-based Identifying Outcomes in Real-World Multiple Myeloma (INFORMM) study. Accepted for the 2019 ASCO Annual Meeting. J Clin Oncol 37, 2019 (suppl; abstr e19509)
    https://meetinglibrary.asco.org/record/172181/abstract
    https://www.medlior.com/asco-2019-identifying-outcomes-in-real-world-multiple-myeloma/
  • Chen G, Farris MS, Cowling T, Colgan S, Xiang P, Pericleous L, Rogoza RM, Tai MH, Anderson TJ. Treatment and Low-density Lipoprotein Cholesterol management in patients diagnosed with clinical Atherosclerotic Cardiovascular Disease in Alberta. Can J Cardiol. 2019; 35:7:884-894
    https://www.onlinecjc.ca/article/S0828-282X(19)30269-7/fulltext
  • Chen G, Farris MS, Cowling T, Colgan S, Xiang P, Pericleous L, Rogoza RM, Anderson TJ. Atherosclerotic Cardiovascular Diseases and Low-Density Lipoprotein Cholesterol Management in Alberta, Canada. Presented at the American Heart Association Scientific Sessions, November 2018; Chicago, USA.
  • Farris M, White K, Liu FF, Cowling T. A Rapid Literature Review of Real-World Evidence in Multiple Myeloma: Patient Characteristics and Health Outcomes. Presented at ISPOR Europe 2018, November 2018; Barcelona, Spain.
  • Chen G, Farris M and Cowling T. Methodological issues for measuring pharmacotherapy treatment and its calibration with patient outcomes using real-world data. International Journal Population Data Science. 2018; 3:3: 170.