M
Mehdi Yaseri
Researcher at Tehran University of Medical Sciences
Publications - 435
Citations - 35439
Mehdi Yaseri is an academic researcher from Tehran University of Medical Sciences. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 35, co-authored 382 publications receiving 25507 citations. Previous affiliations of Mehdi Yaseri include Shahid Beheshti University & University of Tehran.
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Journal ArticleDOI
The effects of preoperative supplementation with a combination of beta‐hydroxy‐beta‐methylbutyrate, arginine, and glutamine on inflammatory and hematological markers of patients with heart surgery: a randomized controlled trial
Mona Norouzi,Azadeh Nadjarzadeh,Majid Maleki,Sayyed Saeid Khayyatzadeh,Saeid Hosseini,Mehdi Yaseri,Hamed Fattahi +6 more
TL;DR: In this paper , the authors evaluated the effectiveness of supplementation with a combination of glutamine, β-hydroxy-β-methylbutyrate (HMB) and arginine in patients undergoing to the heart surgery.
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Laplace regression with clustered censored data
TL;DR: In this paper, the authors considered Laplace quantile regression model for clustered survival data that interpret the effect of covariates on the time to event and used a Bayesian approach with Markov Chain Monte Carlo method to fit the model.
Journal Article
Customization and validation study of WHO surgical safety checklist as a tool to control medical error in operation rooms in Iran
Semantic Priming Effect on Relative Clause Attachment Ambiguity Resolution in L2
TL;DR: The authors examined whether processing ambiguous sentences containing relative clauses (RCs) following a complex determiner phrase (DP) by Persian-speaking learners of L2 English with different proficiency and working memory capacities (WMCs) is affected by semantic priming.
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A Spatial Survival Model in Presence of Competing Risks for Iranian Gastrointestinal Cancer Patients
TL;DR: This study showed that the use of the spatial frailty term in the model helps better fit the model, and suggests the necessity of presence of some still missing, spatially varying covariates relevant for time to death from gastrointestinal cancer, heart disease, or other causes.