- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Financial Risk and Volatility Modeling
- Probabilistic and Robust Engineering Design
- Advanced Statistical Process Monitoring
- Bayesian Methods and Mixture Models
- Colorectal Cancer Surgical Treatments
- Forecasting Techniques and Applications
- Colorectal and Anal Carcinomas
- Stock Market Forecasting Methods
- Complex Systems and Time Series Analysis
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Auditing, Earnings Management, Governance
- Esophageal Cancer Research and Treatment
- Genetic and phenotypic traits in livestock
- Autism Spectrum Disorder Research
- Financial Reporting and Valuation Research
- Anorectal Disease Treatments and Outcomes
- Economic Growth and Development
- Esophageal and GI Pathology
- Pneumonia and Respiratory Infections
- COVID-19 diagnosis using AI
- Neutropenia and Cancer Infections
- Optimal Experimental Design Methods
Ferdowsi University of Mashhad
2016-2025
University of Copenhagen
2023
Mashhad University of Medical Sciences
2012-2022
Imam Reza Hospital
2013-2016
Anesthesiology and Surgical Oncology Research Group
2014
University of Mumbai
2010-2011
<title>Abstract</title> This article presents a new index for evaluating the manufacturing processes based on non-symmetric and flexible loss function. The proposed offers flexibility in capturing varied process deviations aligns with practical requirements. A combination of squared error absolute functions can be considered as model Monte Carlo simulation procedure is discussed investigated loss-based three significant statistical problems, including: (1) point estimation capability index,...
This study examined the effect of a motor intervention based on attention, balance, and coordination (ABC) learning approach proficiency executive functions in children with disabilities (LD). Forty-five male elementary school students LD aged 7-9 years were recruited randomly assigned into one three groups: two experimental groups control group. Experimental Group A received only intervention. B simultaneously both regular educational services. The group involved sequential station...
Abstract An alternative investment theory to the widely utilized efficient market hypothesis, fractal hypothesis analyses daily randomness of and turbulence witnessed during crashes crises. The framework proposes a clear explanation investor behaviour throughout cycle, including booms busts. Nowadays, importance advantages forecasting in decision policy making from different dimensions are undeniably accepted. Naturally, techniques that face lowest errors capable survival proper function....
Purpose: Investigation of autism spectrum disorder (ASD) is somewhat dependent on addressing main core features ASD. But it not clear which kind investigation can effect more difficulties features. So, this study examines the visuomotor, motor, and computer-based training programs social behavior, motor skills, repetitive behaviors children with Patients methods: Sixty ASD aged 6–12 years were recruited assigned to one three experimental groups control group (each n=15). Training was...
Abstract Hosseini Kakhak, SA, Kianigul, M, Haghighi, AH, Nooghabi, MJ, and Scott, BR. Performing soccer-specific training with blood flow restriction enhances physical capacities in youth soccer players. J Strength Cond Res 36(7): 1972–1977, 2022—This study investigated the effect of (BFR) on performance athletes. Nineteen semiprofessional players were randomly assigned to either normal (ST; n = 9) or BFR (ST ; 10). Both groups performed identical activities during a 6-week preseason phase,...
Abstract Background There are various forecasting algorithms available for univariate time series, ranging from simple to sophisticated and computational. In practice, selecting the most appropriate algorithm can be difficult, because there too many algorithms. Although expert knowledge is required make an informed decision, sometimes it not feasible due lack of such resources as time, money, manpower. Methods this study, we used coronavirus disease 2019 (COVID-19) data, including absolute...
Abstract Zerbet and Nikulin presented the new statistic Z k for detecting outliers in exponential distribution. They also compared this with Dixon's D . In article, we extend approach to gamma distribution compare result statistic. The results show that test based on is more powerful than Keywords: statisticGamma sampleOutlierPower of testSlippage hypothesisTest ChauvenetUpper outlier statisticMathematics Subject Classification: 62xx62Fxx62F03 Acknowledgments authors are thankful referees...
Background and Aim: Surgery is the mainstay for treatment of liver hydatid cyst. Different surgical procedures have been suggested, but it important to select most appropriate obtain best results with lowest rate recurrence minimal morbidity mortality. The aim this study was evaluate early outcomes open laparoscopic surgery hydatidosis. Materials Methods: In study, 75 patients uncomplicated cyst were assigned prospectively either groups (37, 50.68%) or procedure (36, 49.32%) during period...
Background: Pneumonia is the third most common cause of death in world, and mortality highest for patients who require hospitalization. Objectives: This prospective observational study an etiological survey community-acquired pneumonia (CAP) over a 12-month period Iranian city Mashhad. To our knowledge, this one first hospital-based studies to comprehensively evaluate epidemiological, demographical, clinical, prognostic factors with CAP Iran. Patients Methods: We studied all adult (aged ≥ 16...
Although there is still much to learn about the types of errors committed in health care and why they occur, enough known today recognize that a serious concern exists for patients. Tuberculosis (TB) an infectious disease frequently subject diagnostic errors. Missed or delayed diagnosis TB can affect patients community adversely. Our aim present study was at evaluating type from symptom onset diagnosis. This multicenter cross-sectional conducted three university hospitals Mashhad, Iran. We...
Previous studies have proposed that heat shock proteins 27 (HSP27) and its anti-HSP27 antibody titers may play a crucial role in several diseases including cardiovascular disease. However, available has been used simple analytical methods. This study aimed to determine the factors associate serum using ensemble machine learning methods demonstrate magnitude direction of predictors PFI SHAP The employed Python 3 apply various models, LightGBM, CatBoost, XGBoost, AdaBoost, SVR, MLP, MLR. best...
The moment(MM) and least squares(LS) estimations of the parameters are derived for Pareto distribution in presence outliers. Further, we have a mixture method(MIX) with MM LS that shows MIX is more efficient. In final section given an example actual data from medical insurance company.
The profile of febrile encephalopathy varies based on different demographic and geographical characteristics the study population. This retrospective, cross-sectional was conducted to evaluate etiological spectrum in hospitalized adult patients. A total 293 patients with mean age 49.7 ± 23 were evaluated whom 77.1% presented syndrome. most common diagnosis clinical syndromes suggestive central nervous system (CNS) infection sepsis associated (SAE) (22.9%), followed by bacterial meningitis...