Funded Statistics/Biostatistics PhD project at the University of Calgary:
Bayesian methods for studying patient-centered comparative effectiveness.
Research Area: Bayesian statistics; clinical trials; network meta-analyses; computational statistics; biostatistics.
Start Date: September 2017
Application Deadline: January 15, 2017
Background: Comparative effectiveness research is a broad field of research that aims to provide ‘real-world’ estimates of treatment benefits and harms to help inform treatment decisions. Patients’ preferences
for these benefits and harms should then be used to guide decision-making. Bayesian methods offer advantages as they facilitate the incorporation of multiple sources of evidence, while readily accounting for the uncertainty in their estimation.
Dr. Rob Deardon (Dept. of Mathematics & Statistics) and Dr. Glen Hazlewood (Dept. of Community Health Sciences) are requesting applications for a CIHR-funded doctoral student position to explore the use of applied Bayesian
methods for patient-centered comparative effectiveness research.
The student will have access to large data sets on treatment benefits and harms (including datasets from network meta-analysis and observational cohorts) and data from patient preference studies. The student will explore
the use of Bayesian methods to synthesize comparative effectiveness research and to inform the design of future clinical trials in view of the existing evidence base and patients’ preferences. The research will focus on rheumatoid arthritis treatment, which
is of high interest to multiple stakeholders, given the increased availability of highly effective, but expensive treatment options.
CIHR funding for this position is available. The successful applicant will have an MSc in Statistics, Biostatistics, or equivalent, and have an interest in applied clinical research methods and computational statistics.
Strong communication skills are essential.
Candidates can apply either through the Statistics program of the Dept. of Mathematics and Statistics, or the Biostatistics program of the Dept. of Community Health Sciences.