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Journal of Biostatistics and Epidemiology
Scopus
ISSN 2383-4196 · Tehran University of Medical Sciences · 312 artikel di indeks
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Artikel Jurnal
Understanding premature mortality patterns from Non–Communicable Diseases in Iran (2012-2020)
Background: More than 85% of premature deaths from major non-communicable diseases (NCDs) occur in low- and middle-income countries. Objectives: This study aimed to investigate trends of premature deaths (30-70 years) due to the non-communicable diseases in Iran, from 2012 to 2020. Methods: Data on…
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Sparse Variable Selection in Competing Risks Additive Hazards Regression: An application for identifying biomarkers related to prognosis of Bladder Cancer
Introduction: Variable selection has become an increasingly important topic in biomedical research, as evidenced by its modern applications in high-throughput genomic data analysis. Specifically, interest in analyzing high-throughput data to link gene expression profiles to the timing of an event…
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Diabetes management with wearable continuous glucose monitoring trackers: A systematic review and meta-analysis of randomized, controlled trials
Background: Continuous glucose monitoring (CGM) has become an essential tool in diabetes management as it provides real-time information on blood glucose levels. Present study summarizes current evidence on the clinical outcomes, glycemic control, and patient-reported outcomes of CGM compared to…
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Robust Neighborhood Confidence Interval and Width to Evaluate the Outcome of a Binary Random Variable of Unequal Cluster Sizes
Bachground :While the main advantage of the confidence interval is that it enables more precise evaluations when the risk for the outcome of interest is related to the cluster size, the predicted confidence interval width demonstrates the degree of variability in the future data instead. Methods…
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Developing a Comparative Analysis Model by Risk Management Approach on Satellite Media Affecting Individual Health, Families, Social Health, Humans and Human Dignity: Comparing Countries with Iran
Background: The current article primarily aims to ascertain the impact of any risk arising from the technology of satellite media in this era, whatsoever, specially those connected to the internet (including Cyborgs, Metaverse and AI), on the individual health (mental, attitudes and behaviors that…
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Association of Sleep Health Metrics (Sleep Duration and Quality) and Mental Health Status: A Population-Based Cross-Sectional Survey
Background: Sleep pattern is a vital part of healthy lifestyle, with deviations from the recommended 7-9 hours associated to negative outcomes. Limited studies have investigated the connection between sleep patterns and mental health in underserved urban communities. This study explores the…
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ESTIMATION OF HIV PREVALENCE AMONG WOMEN IN KENYA IN THE PRESENCE OF MEDIATION USING LATENT TRAIT ANALYSIS
Background Estimating prevalence in cause-effect relationships where the mediator variables are assumed to be latent is not usually easy. However, the use of proper indicators and statistical model can make the measurement and use of such constructs easy. Methods Structural Equation Modeling makes…
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A quantitative comparison between Focal loss and Binary Cross-Entropy loss in Brain Tumor Auto-segmentation using U-net
Purpose: Brain tumors are among the fatal cancers and cause the death of many people annually. Early diagnosis of a brain tumor can help save the patient’s life. Method: We have collected a dataset consisting of 314 brain MRI images in all planes taken by giving a contrast medium with the dimension…
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Scientific Knowledge of Wegener's granulomatosis: A Scientometric Analysis, From 1970 to 2023
Background: Granulomatosis with polyangiitis (GPA), previously known as Wegener's granulomatosis is a systemic, necrotizing vasculitis. To our knowledge, there have been no previous attempts to assess the literature on GPA through scientometric analysis. In our study, we utilized scientometric…
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Unraveling Growth: Analyzing the key Factors Influencing growth rate of children under two years
Introduction: According to the significance of children in the culture, economy, and human resources for the country's future, their growth in the first 2 years and its influencing factors are crucial for the country's progress. Objectives: The study evaluates the determinants that impact the…
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Deep Neural Network for Cure Fraction Survival Analysis Using Pseudo Values
Background:The hidden assumption in most of survival analysis models is the occurrence of the event of interest for all study units. The violation of this assumption occurs in several situations. For example, in medicine, some patients may never have cancer, and some may never face Alzheimer…
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Additive value of computed tomography severity scores to predict lengths of stay in hospital and ICU for COVID-19 patients: a machine learning study
Introduction: During the outbreak of COVID-19, most hospitals faced resource shortages due to the great surges in the influx of infected COVID-19 patients and demand exceeding capacities. Predicting the lengths of stay (LOS) of the patients can help to make proper resource-planning decisions. CT-SS…
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Adjustment of Truncation Effect in First Birth Interval using Current Status Data Technique
Background: Estimating the First Birth Interval (FBI) from cross-sectional data often presents challenges related to truncation effects. These challenges stem from the data’s inability to capture the enough exposure for a event, resulting in potential biases and inaccuracies in FBI estimates…
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Socioeconomic Inequality in Chronic Complications of Type 2 Diabetes Mellitus in Iran: Concentration Index and Decomposition Approach
Background: In Iran, evidence regarding the impact of socioeconomic (SES) inequality on the progression and complications of type 2 diabetes mellitus (T2DM) are sparse and needs growing body of research. SES is a complex construct and its impact on the health outcomes should be evaluated in an…
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Using The Causal Attitude Network Model to analyze the factors affecting public attitude and acceptance of COVID-19 and vaccination in Indonesia
Introduction: Attitudes about COVID-19 relate to cognitions, feelings, and behaviors regarding the pandemic and vaccination, as well as other factors, such as demographic characteristics, and health-related information. This research uses the Causal Attitude Network (CAN) model to measure attitudes…
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Analysis of Vertical Ground Reaction Force Data in Predicting Parkinson’s Disease
Background: Parkinson’s disease (PD) is a complex, progressive neurodegenerative disorder known to negatively impair patient gait. Therefore, with gait and vertical ground reaction force (VGRF) data, an association can be made between the data and Parkinson’s disease. Methods: Data from 146…
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Epidemiology, clustering and spatial distribution of animal bites in Algeria
Introduction: Animals can transmit many viral and bacterial diseases through bites and saliva that can be potentially fatal to human. Rabies, one of these diseases, is rife in two-thirds of the world’s countries. Algeria is not spared. This study was scoped to provide insight into the demography…
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Machine Learning Models for Prognostic Assessment of Covid-19 Mortality Using Computed Tomography-Based Radiomics
Introduction: This study examines the significance of developing a predictive approach for assessing the prognosis of individuals diagnosed with COVID-19. This method can help physicians make treatment decisions that decrease mortality and prevent unnecessary treatments. This study also emphasizes…
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Barriers and Determinants of Diabetes Self-Management Among Palestinian Refugees in Jordan: A Mixed-Methods Study
Background: Diabetes mellitus is one of the highest causes of death around the world as one out of eleventh adults have diabetes mellitus. In Jordan, the prevalence of diabetes mellitus was projected to be around 16% in 2020. Our study aims to understand the compliance and efficacy for…
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Epidemiological Study of The Physical Ability to Practice Physical Education in Children with School Pathologies
Introduction: The term "school pathologies" encompasses two distinct categories of health disorders: those that are caused or exacerbated by a lack of physical activity, and those that predominantly affect children of school age. This study employs an epidemiological approach to examine the…