I am an Associate Professor and Applied Biostatistician in the Department of Oncology and the Department of Health Research Methods, Evidence, & Impact (formerly Clinical Epidemiology & Biostatistics) at McMaster University in Hamilton, Ontario, Canada.

I completed an MSc degree (Biostatistics) in the Department of Epidemiology and Biostatistics at the University of Western Ontario, and PhD in Health Research Methods (Biostatistics) in the department of Clinical Epidemiology & Biostatistics at McMaster University.


My research interests are in randomized controlled trials and diagnostic accuracy studies. I have extensive experience in the design, conduct, monitoring, statistical analysis and reporting of multi-centre randomized trials, and as a member of various Data Safety Monitoring Boards (DSMB).

I am a faculty biostatistician with the Ontario Clinical Oncology Group (OCOG), an academic cooperative clinical trials methods and coordinating group that works with a network of national and international investigators to design and carry out clinical trials in the fields of cancer and thrombosis. I am the principal statistician for many trials of these trials. For a full list of OCOG studies, please visit OCOG-Trials. I also serve as the Data Coordinating Centre PI for the NIH-funded C-TRACT trial.

My other research activities include work on pilot and feasibility studies, systematic reviews and meta-analysis, and clinical decision and prediction rules.


Recent peer-reviewed publications:

Xu K, de Wit K, Geersing GJ, Takada T, Schutgens R, Elf J, Kearon C, Parpia S. A simplified decision rule to rule out deep vein thrombosis using clinical assessment and D-dimer. J Thromb Haemost. 2021. doi: 10.1111/jth.15337. PMID: 33834620.
Rakovitch E, Parpia S, Koch A, Grimard L, Soliman H, Stevens C, Perera F, Kong I, Senthelal S, Anthes M, Wiebe E, Cao J, Goldberg M, Smith S, Spadafora L, Whelan TJ. DUCHESS: an evaluation of the ductal carcinoma in situ score for decisions on radiotherapy in patients with low/intermediate-risk DCIS. Breast Cancer Res Treat. 2021. doi: 10.1007/s10549-021-06187-7. Epub. PMID: 33830392.
Griffiths CD, Simunovic M, Gafni A, Parpia S, Linkins LA, Serrano PE. Posthospital discharge venous thromboembolism prophylaxis among colorectal and hepatobiliary surgeons: A practice survey. Surgery. 2021. S0039-6060(21)00108-2. doi: 10.1016/j.surg.2021.02.015. Epub. PMID: 33736865.
Dhutia H, Malhotra A, Finnochiaro G, Parpia S, Bhatia R, D’Silva A, Gati S, Mellor G, Narain R, Chandra N, Behr E, Tome M, Papadakis M, Sharma S. Diagnostic yield and financial implications of a nationwide electrocardiographic screening programme to detect cardiac disease in the young. Europace. 2021:euab021. doi: 10.1093/europace/euab021. Epub. Erratum in: Europace. 2021. PMID: 33570096.

A full list of my publications can be found on my here.

Teaching/Student Supervision

I contribute to teaching biostatistics and health research methods in the graduate Health Research Methodology Program (HRM) in the Department of Health Research Methods, Evidence, & Impact at McMaster University. Currently, I contribute to the following courses:

HRM 730 – Introduction to Research Methods for Randomized Controlled Trials
HRM 733 – Statistical and Methodological Issues in Randomized Clinical Trials
HRM 739 – Biostatistical Collaboration
HRM 723 – Regression Analysis
HRM 777 – Methods for Diagnostic and Prognostic Research

In addition, I supervise graduate students (MSc and PhD) through the HRM program as well.

Biostatistical Consultancy

Advise and assist individuals and organizations on:

Research methodology
Study design, protocol development
Data collection
Data/statistical analysis
Evidence synthesis


Statistical and Methodological Blogs & Resources – discussion forum for data methodologists, clinical trialists and clinical researchers
Statistical Thinking – Frank Harrell
Statistical Modeling, Causal Inference, and Social Science – Andrew Gelman
The Stats Geek – Jonathan Bartlett
Winton Centre for Risk and Evidence Communication – Winton Centre
Error Statistics Philosophy – Deborah Mayo


Feel free to get in touch with me regarding collaboration, graduate student supervision or statistical consulting.