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Investigation of the Effect of Risk Perception, Socio-demographic and Obstetric Factors on the Level of Decision-making of Pregnant Women via the Internet: Multiple Linear Regressi...
Published 2025-08-01“…Descriptive statistics, including percentages and means, as well as multiple linear regression analysis, were utilized to analyze the data. …”
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Analysis of Spatio-Temporal Distribution and Agro-ecological Factors Influencing Carrot Leaf Blight (Alternaria dauci) in East Hararghe, Ethiopia
Published 2025-03-01“…Association of the disease incidence and severity with agro-ecological factors were analyzed using a logistic regression model. …”
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85
Stability of Watch-Based Blood Pressure Measurements Analyzed by Pre-Post Calibration Differences
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86
Research and Analysis of Factors Influencing the Passing Rate of CET-4 in Local Universities
Published 2023-12-01“…The paper employs cross-analysis and regression tests to analyze the factors affecting the passing rate of CET-4 among local undergraduate college students, drawing relevant conclusions. …”
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87
Clinical characteristics and risk factors of premature rupture of membranes infection in pregnant and lying-in women
Published 2025-08-01“…In this context, this study uses Bayesian method and Logistic regression analysis to construct a new variable analysis model to analyze the clinical characteristics and risk factors of PROM infection. …”
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Bayesian generalized poisson regression analysis of number of death attributed to household air pollution and associate factors in East Africa from 2010 to 2019 and projection up t...
Published 2025-07-01“…Bayesian generalized Poisson regression and autoregressive integrated moving average (ARIMA) modeling were employed to examine the associated factors and project future mortality rates up to 2030 respectively. …”
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Socioeconomic Factors Influencing Crop Diversification Among Smallholder Farmers in Bergville, South Africa
Published 2025-04-01“…A structured questionnaire was used to collect data, analyzed using descriptive statistics. The multiple linear regression and multivariate probit regression models were applied to assess the socioeconomic factors influencing diversification. …”
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Public health nurse density and associated factors across Japan: an ecological study
Published 2025-07-01“…Ordinary least squares (OLS) regression and quantile regression (QR) models were used to analyze the identified regional factors associated with PHN density. …”
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91
Urban expansion and compensation vis-a-vis livelihood coping strategies of displaced farmers surrounding medium size towns in north west Ethiopia
Published 2025-07-01“…The main objective of this study was to analyze urban expansion driving factors and compensation vis-a-vis livelihood coping strategies of displaced farmers surrounding medium size towns. …”
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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management
Published 2025-02-01“…Machine learning is an effective tool to analyze large amounts of data and identify perioperative complication factors. …”
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Risk Factors for COVID-19 Adverse Outcomes in ICU Settings of Various Types Repurposed Hospitals
Published 2023-06-01“…Gender, age, BMI, NEWS score, severity of lung damage based on CT quantification, blood gases and pH, patterns of antibiotic administration during hospital stay (all classes and number of antimicrobials, regardless the sequence of administration), patterns of main drugs administration (glucocorticosteroids, lopinavir/ritonavir, tocilizumab/ solilumab, hydroxychloroquine) were evaluated as risk factors. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated by logistic regression.Results. …”
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Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai
Published 2025-07-01“…It uses spatial analysis methods to visually display the spatial evolution of older adult care institutions in the city and analyzes the influencing factors of their spatial distribution patterns using a geographic detector approach.MethodsThe research methodology used in the study includes Kernel Density Estimation for visualizing the spatial distribution of older adult care institutions in Shanghai, the Rand Index for measuring the match between older adult care institutions and the older adult population, and Geographically Weighted Regression for addressing spatial heterogeneity by providing local estimates for regression coefficients at different geographical locations.ResultsThe number of older adult care institutions in Shanghai has seen significant growth over the past 20 years, increasing fourfold due to the rise in both public and private facilities. …”
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A Bayesian Logistic Regression approach in Asthma Persistence Prediction
Published 2022-02-01“…Methods: Data from 147 asthmatic children were analyzed by a new method for predicting asthma outcome using Principal Component Analysis (PCA) in combination with a Bayesian logistic regression approach implemented by the Markov Chain Monte Carlo (MCMC). …”
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Genotype × environment interaction analysis and climatic factors impacts on grain yield in rainfed durum wheat trials in Iran
Published 2025-08-01“…Using factorial regression model, climatic factors driving G×E interactions for grain yield were identified. …”
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Hepatoblastoma regional trends: dynamic SDI & joinpoint regression analysis
Published 2025-07-01“…Despite regional disparities in incidence and mortality, the global burden of HB remains underquantified, with limited understanding of its correlation with socioeconomic factors., This study aims to comprehensively assess the disease burden of HB and its correlation with socioeconomic factors, identify high-burden regions, and provide evidence to optimize resource allocation and reduce disease burden. …”
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RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD
Published 2024-03-01“…Rainfall modeling using the Geographically Weighted Poisson Regression (GWPR) method combines the power of Poisson regression in analyzing calculated data with the advantages of GWR in modeling spatial variability. …”
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Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework
Published 2023-05-01“…To the best of our knowledge, there is limited literature and data-driven analysis about trends in transportation mode choices and the influencing factors in Atlantic Canada. <i>Methods</i>: In this study, a data-driven method has been used to analyze the Canadian Freight dataset to identify trends in transportation activities within Maritime, Canada. …”
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