Eleanor Pullenayegum on Muck Rack

Eleanor Pullenayegum

Toronto
As seen in: Wiley Online Library, PLOS ONE, Archives of Disease in Childhood, MDPI, JAMA (The Journal of the American Medical Association), The Journal of Pediatrics, The Journal of Rheumatology, The Rheumatologist, Value in Health Journal, Journal of Pediatric Nursing
Biostatistician enabling better evidence for better healthcare. Practicing hope and joy amid brokenness. Views are my own
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Articles

An Empirical Comparison of Statistical Methods for Estimating Treatment Effects on EQ-5D in Randomized Clinical Trials

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By Jiajun Yan, Brittany Humphries, Menglu Che, Eleanor Pullenayegum, Feng Xie
| Value in Health Journal Verified
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Exploring the feasibility of using discrete choice experiments with duration to elicit health state preferences among Canadian youth: A convergent parallel mixed methods study

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By Brittany Humphries, Angel Ruhil, Rebecca Q. Liu, Eleanor Pullenayegum, Arto Ohinmaa, Susan M Jack, Feng Xie
| Value in Health Journal Verified
Property Value Status Version Ad File Disable Ads Flag Environment Moat Init Moat Ready Contextual Ready Contextual URL Contextual Initial Segments Contextual Used Segments AdUnit SubAdUnit Custom Targeting Ad Events Invalid Ad Sizes 1Department of Health Research Methods, Evidence and Impact, McMaster University, Ontario, Canada 2Hospital for Sick Children, University of Toronto, Ontario, Canada 3School of Public Health, University of Alberta, Alberta, Canada 4School of Nursing, McMaster...
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Intercept Estimation of Semi‐Parametric Joint Models in the Context of Longitudinal Data Subject to Irregular Observations

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By Luis Ledesma, Eleanor Pullenayegum
| Wiley Online Library Verified
1 Introduction Longitudinal studies allow us to study the progression of a disease and risk factors associated with disease progression. However, often measurements are not obtained uniformly through time, with the timing of visits varying across patients; in some scenarios, no two subjects share an observation time. Furthermore, the visit times can be informative, that is, the response variable of interest is related to the visit intensity of a particular subject.
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