Omidali Aghababaei Jazi

ORCID: 0000-0001-6191-4082
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About
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Research Areas
  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Advanced Causal Inference Techniques
  • Neurogenetic and Muscular Disorders Research
  • Inflammatory Myopathies and Dermatomyositis
  • Cardiomyopathy and Myosin Studies
  • HIV/AIDS Impact and Responses
  • Insurance, Mortality, Demography, Risk Management

University of Toronto
2022-2023

Institute for Clinical Evaluative Sciences
2022

Hospital for Sick Children
2022

SickKids Foundation
2022

10.1016/j.jspi.2023.06.001 article EN Journal of Statistical Planning and Inference 2023-06-16

Abstract A common issue in longitudinal studies is that subjects' visits are irregular and may depend on observed outcome values which known as data with informative observation times (follow‐up). Semiparametric regression modeling for this type of has received much attention it provides more flexibility studying the association between factors a outcome. An important problem here how to select relevant variables estimate their coefficients semiparametric models when number covariates at...

10.1002/sim.9417 article EN Statistics in Medicine 2022-04-25

Abstract Background Core sets, while widely adopted for clinical assessment in juvenile dermatomyositis (JDM), have some drawbacks – they are time consuming, were developed primarily research, and require an experienced multidisciplinary team. We propose the Wingate Anaerobic Test, a 30-s all out test performed on cycle ergometer, as potential alternative; it is valid reliable this patient population. aimed to determine feasibility of performing part typical clinic visit, if correlated...

10.1186/s12969-022-00679-6 article EN cc-by Pediatric Rheumatology 2022-03-28

Prevalent cohort sampling is commonly used to study the natural history of a disease when rare or it usually takes long time observe failure event. It known, however, that collected sample in this situation not representative target population which turn leads biased risk sets. In addition, survival times are subject censoring, censoring mechanism informative. paper, I propose pseudo-partial likelihood estimation method for estimating parameters Cox proportional hazards model with...

10.48550/arxiv.2209.00749 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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