I am an Assistant 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, 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.
I have extensive experience in the design, conduct and analysis of randomized trials, observational and diagnostic studies, systematic reviews and meta-analysis, and pilot and feasibility studies.
My research interests are in applied biostatistics and health research methodology. I collaborate with clinical researchers on numerous projects including clinical trials, diagnostic studies, systematic reviews and meta-analysis, prognostic and predictive modeling, in a variety of clinical areas such as emergency medicine, oncology, thromboembolism, surgery, and nephrology.
I am also a faculty biostatistician with the Ontario Clinical Oncology Group (OCOG), an academic cooperative clinical trials coordinating and methods group which focuses on clinical research in cancer and thrombosis. I am the lead statistician for several studies that are funded by either the CIHR, NIH, CCSRI, or industry partners. For a full list of OCOG studies, please visit OCOG-Trials.
I teach extensively in the graduate Health Research Methodology Program (HRM) in the Faculty of Health Sciences at McMaster University. 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.
I advise, and provide statistical and methodological support to individuals and organizations relating to the design, conduct, analysis, interpretation and reporting of their research projects.
Statistical and Methodological Blogs & Resources
datamethods.org – discussion forum for data methodologists, clinical trialists and clinical researchers
Statistical Thinking – Frank Harrell
Statistical Modeling, Causal Inference, and Social Science – Andrew Gelman
Winton Centre for Risk and Evidence Communication – Winton Centre (University of Cambridge)
Error Statistics Philosophy – Deborah Mayo
Feel free to get in touch with me regarding statistical/methodological support, collaboration or graduate student supervision.