Biostatistics Graduate Students

Dr. Pullenayegum is currently recruiting Biostatistics Graduate Students at both the master’s and doctoral levels and would be happy to chat with you.

Please choose and read a paper from the Longitudinal data or Health Utilities sections below, and contact Panagiota Vogdou to schedule a call to discuss it and explore potential research topics arising from the paper with Dr. Pullenayegum.

If you do not have library access to the full texts, please contact Dr. Pullenayegum and she will provide them.

Postdoctoral Opportunities

Occasionally the lab has postdoctoral opportunities; if you have or are nearing completion of a PhD in statistics or biostatistics, please take a look at the papers below to see whether we have common research interests. If you do not have library access to the full texts, please contact Dr. Pullenayegum and she will provide them.

Pullenayegum EM. Meeting the Assumptions of Inverse-Intensity Weighting for Longitudinal Data Subject to Irregular Follow-Up: Suggestions for the Design and Analysis of Clinic-Based Cohort Studies. Epidemiologic Methods 2020 9 (1)

Liu K*, Saarela O, Feldman BM, Pullenayegum E. Estimation of causal effects with repeatedly measured outcomes in a Bayesian framework. Statistical Methods in Medical Research (in press)

Pullenayegum EM, Lim LS. Longitudinal data subject to irregular observation: A review of methods with a focus on visit processes, assumptions, and study design. Stat Methods Med Res. 2016 Dec;25(6):2992-3014.

Pullenayegum EM. Multiple outputation for the analysis of longitudinal data subject to irregular observation. Stat Med. 2015 Dec 13. doi: 10.1002/sim.6829. [Epub ahead of print] PubMed PMID: 26661690.

Pullenayegum EM, Feldman BM. Doubly robust estimation, optimally truncated inverse-intensity weighting and increment-based methods for the analysis of irregularly observed longitudinal data. Statistics in Medicine. 2013 Mar 15; 32(6):1054-72. doi:10.1002/sim.5640.

Waudby-Smith I, Pickard AS, Xie F, Pullenayegum EM. Using Both Time Tradeoff and Discrete Choice Experiments in Valuing the EQ-5D: Impact of Model Misspecification on Value Sets. Medical Decision Making (in press)

Shams S*, Pullenayegum E. Design and sample size considerations for valuation studies of multiā€attribute utility instruments. Statistics in Medicine (in press)

Chan KKW, Pullenayegum EM. The Theoretical Relationship between Sample Size and Expected Predictive Precision for EQ-5D Valuation Studies: A Mathematical Exploration and Simulation Study. Medical Decision Making 2020 40 (3), 339-347

Pullenayegum EM, Pickard AS, Xie F. Latent Class Models Reveal Poor Agreement between Discrete Choice and Time Trade-off Preferences. Medical Decision Making 2019 39 (4), 421-436

Shams S*, Pullenayegum EM. Reducing Uncertainty in EQ-5D Value Sets: The Role of Spatial Correlation. Medical Decision Making. 2019 Feb; 39(2):91-99. doi: 10.1177/0272989X18821368. Epub 2019 Jan 24. PubMed PMID: 30678526

Chan KKW*, Xie F, Willan AR, Pullenayegum EM. Conducting EQ-5D Valuation Studies in Resource-Constrained Countries: The Potential Use of Shrinkage Estimators to Reduce Sample Size. Medical Decision Making. 2017 Aug 1:272989X17725748.doi: 10.1177/0272989X17725748. [Epub ahead of print] PubMed PMID: 28823185

Chan KKW*, Xie F, Willan AR, Pullenayegum EM. Underestimation of Variance of Predicted Health Utilities Derived from Multi-Attribute Utility Instruments: The Use of Multiple Imputation as a Potential Solution. Medical Decision Making. 2017 Apr;37(3):262-272. doi: 10.1177/0272989X16650181. Epub 2016 Jul 10

Pullenayegum EM, Chan KKW*, Xie F. Quantifying Parameter Uncertainty in EQ-5D-3L Value Sets and Its Impact on Studies That Use the EQ-5D-3L to Measure Health Utility: A Bayesian Approach. Med Decis Making. 2016 Feb;36(2):223-33. doi: 10.1177/0272989X15591966. Epub 2015 Jul 2. PubMed PMID: 26139449.

Undergraduate Students

Dr. Pullenayegum posts opportunities through the University of Toronto’s work-study program (for students with a full course load), or through the SickKids Research Summer Student program (SSuRe).


The STRIVE Lab does not have any volunteer positions.