Opportunities

Biostatistics Graduate Students

Dr Pullenayegum is currently accepting students at both the master’s and doctoral level. Dr Pulenayegum receives a high volume of requests and will respond to everyone who follows the steps below, but due to the volume she is not able to respond to more casual requests to meet. So please, read carefully!

Note that in order to do thesis work with Dr Pullenayegum you will need to gain admission to the Biostatistics Division at the Dalla Lana School of Public Health at the University of Toronto. Please see their website for application details and deadlines.

If you would like to discuss potential thesis topics, Dr Pullenayegum would be happy to chat with you. Please choose and read a paper from the Longitudinal data or Health Utilities sections below that you feel would be helpful in setting thesis directions, and contact Poonam Dodia (poonam.dodia@sickkids.ca) to schedule a call to discuss it me. When scheduling your call, please let us know which paper you have read and would like to discuss.

The full texts are available through most university libraries, however if you do not have library access to the full texts, please contact me and I 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.

Longitudinal data

Pullenayegum EM (PA), Birken C, Maguire J, The TARTGet Kids! Collaboration. Causal Inference with Longitudinal Data Subject to Irregular Assessment Times. Statistics in Medicine (accepted March 2023)
Aghababaei Jazi O*, Pullenayegum E., Variable selection in semiparametric regression models for longitudinal data with informative observation times. Stat Med. 2022 Apr 25. doi: 10.1002/sim.9417. Online ahead of print. PMID: 35468658
Pullenayegum EM, Birken C, Maguire J; TARGet Kids! Collaboration, Clustered longitudinal data subject to irregular observation. Stat Methods Med Res.2021 Apr;30(4):1081-1100. doi: 10.1177/0962280220986193. Epub 2021 Jan 29. PMID: 33509042
Liu K*, Saarela O, Feldman BM, Pullenayegum E. Estimation of causal effects with repeatedly measured outcomes in a Bayesian framework. Stat Methods Med Res. 2020 Sep;29(9):2507-2519. doi: 10.1177/0962280219900362. Epub 2020 Jan 29. PMID: 31994451
Pullenayegum EM. Multiple outputation for the analysis of longitudinal data subject to irregular observation. Statistics in Medicine. 2016; 35(11); 1800-18. Epub date: 2015 Dec 13. doi: 10.1002/sim.6829. PubMed PMID: 26661690.
Pullenayegum EM, Lim LS. Longitudinal data subject to irregular observation: A review of methods with a focus on visit processes, assumptions, and study design. Statistical Methods in Medical Research. 2016 Dec; 25(6); 2992-3014. Epub date: 2014 May 21. doi: 10.1177/0962280214536537 pii: 0962280214536537. PubMed PMID: 24855119

Health Utilities

Che M*, Xie F, Thomas S, Pullenayeugm EM (SRA). Bayesian models with spatial correlation improve the precision of EQ-5D-5L value sets. Medical Decision Making (accepted April 2023).
Che M*, Pullenayegum E. Efficient designs for valuation studies that use time trade-off (TTO) tasks to map latent utilities from discrete choice experiments to the interval scale: selection of health states for TTO tasks. Medical Decision Making (in press)
Shams S*, Pullenayegum E. Design and sample size considerations for valuation studies of multi-attribute utility instruments. Stat Med. 2020 Oct 15;39(23):3074-3104. doi: 10.1002/sim.8592. Epub 2020 Jul 24. PMID: 32706130
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. Med Decis Making. 2020 May;40(4):483-497. doi: 10.1177/0272989X20924019. Epub 2020 Jun 9. PMID: 32517541
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 Apr;40(3):339-347. doi: 10.1177/0272989X20915452. PMID: 32428427
Shams S*, Pullenayegum E. 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
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. Medical Decision Making. 2016; 36(2): 223-233. doi: 10.1177/0272989X15591966. Epub date: July 2 2015. pii: 0272989X15591966. 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).

Volunteers

The STRIVE Lab does not have any volunteer positions.