Analyzing Determinant Factors for Pathophysiology of Functional Dyspepsia Based on Plasma Cortisol Levels, IL-6 and IL-8 Expressions and H. pylori Activity by Arina Widya Murni, Eryati Darwin, Nasrul Zubir, Adnil Edwin Nurdin

“…The inflammatory expressions (IL-6 and IL-8 expressions) as well as H. pylori activity were determined using immunohistochemistry of gastric biopsy specimens; while plasma cortisol levels was measured from peripheral blood samples. Data were analyzed using binary multivariate logistic regression. …”
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Analyzing Determinant Factors for Pathophysiology of Functional Dyspepsia Based on Plasma Cortisol Levels, IL-6 and IL-8 Expressions and H. pylori Activity by Arina Widya Murni, Eryati Darwin, Nasrul Zubir, Adnil Edwin Nurdin

“…The inflammatory expressions (IL-6 and IL-8 expressions) as well as H. pylori activity were determined using immunohistochemistry of gastric biopsy specimens; while plasma cortisol levels was measured from peripheral blood samples. Data were analyzed using binary multivariate logistic regression. …”
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A COMPARISON OF LOGISTIC REGRESSION AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION (GWLR) ON COVID-19 DATA IN WEST SUMATRA by Irvanal Haq, Muhammad Nur Aidi, Anang Kurnia, Efriwati Efriwati

“…This research analyzed factors that affect the recovery time of Covid-19 sufferers in West Sumatra. …”
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Evaluation and analysis of risk factors for fractured vertebral recompression post-percutaneous kyphoplasty: a retrospective cohort study based on logistic regression analysis by YingLun Zhao, Bo Li, Lu Qian, XueMing Chen, YanHui Wang, LiBin Cui, Yuan Xin, Liang Liu

“…Multicollinearity was assessed using variance inflation factor (VIF). A multivariable logistic regression model was constructed and validated via 10-fold cross-validation and temporal validation. …”
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Modeling coronary heart disease risk based on age, fatty food consumption and anxiety factors using penalized spline nonparametric logistic regression by Nur Chamidah, Budi Lestari, Hendri Susilo, Triana Kesuma Dewi, Toha Saifudin, Naufal Ramadhan Al Akhwal Siregar, Dursun Aydin

“…We propose a new method for modeling CHD risk by considering the influencing factors, namely age, fatty food consumption and anxiety using Penalized Spline Nonparametric Logistic Regression (PSNLR) approach to analyze the CHD and non-CHD risks affected by these influencing factors. …”
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Factors Influencing Households’ Willingness to Pay for Advanced Waste Management Services in an Emerging Nation by Shahjahan Ali, Shahnaj Akter, Anita Boros, István Temesi

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ANALISIS REGRESI LOGISTIK ORDINAL FAKTOR-FAKTOR YANG MEMPENGARUHI STATUS BEASISWA MAHASISWA DI UNIVERSITAS MATARAM by Baiq Rika Ayu Febrilia, Mi'rojatul Handa Yani, Syahril Anwar

“…This study aims to analyze the factors that influence the status of student scholarships (get or not get a scholarship) using ordinal logistic regression analysis. …”
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Geographical factors influencing household cookstove choices in Nepal by Kyungtae Lee, Alexander Kwon

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Factors Influencing Customer Satisfaction in Health Insurance: A comprehensive study in Bengaluru, India by Chyavana Kondapally, M Vikram Reddy, B Mohan Kumar

“…Chi–square and logistic regression tests were conducted using R – Program to understand which factors influence consumer satisfaction in Health Insurance (HI). …”
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Regional factors affecting the prevalence of hypertension using geographic information system by Hyojeong Lee, Jihye Lim

“…Abstract The aim of this study was to analyze the regional factors affecting the prevalence of hypertension in Korea using regional hypertension prevalence data. …”
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Epidemiological characteristics and influencing factors of scrub typhus in Jiangxi Province by Yanwu Nie, Shu Yang, Qi Yao, Xiaobo Liu, Baojun Zhang, Yuanan Lu, Yisheng Zhou, Lei Wu, Hui Li

“…On the basis of the 2022 spatial data, global regression analysis was conducted via ordinary least squares (OLS), whereas local regression analysis was conducted via geographically weighted regression (GWR). …”
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Assessing psychological resilience and its influencing factors in the MSM population by machine learning by Yiwei Zhou, Zejie Zhang, Fanglv Xiang, Minlu Xu, Zumu Zhou

“…Data were collected from 1,070 MSM via an online survey in Zhejiang and the other 17 provinces, China, covering demographics, HIV-status and psychological factors. Psychological resilience and its influencing factors were analyzed using the Chi-square Automatic Interaction Detector (CHAID) decision tree and multivariable ordinal logistic regression. …”
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FACTORS INFLUENCING INFORMATION AND COMMUNICATION TECHNOLOGY ADOPTION IN SMALL AND MEDIUM ENTERPRISES IN JIJEL, ALGERIA by Chaima Laridja, Ahcène Tiar

“…The dependent variable, adoption of information and communication technology, was measured as the degree of adoption of six information and communication technologies by SMEs. Ordered logistic regression was utilized to analyze the collected data. …”
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The Analysis of the Effective Factors on Urban Blight in District 3, Region 12, Tehran City by Hossein Mansourian, Ahmad Pour Ahmad, Hasan Ashouri

“…The dependent variable in the regression analysis is the final urban blight index, while the independent variables are the 6 factors extracted from the factor analysis. …”
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Predictability of the Refractive Effect after Laser Correction. Determining Factors. Review by E. N. Eskina, A. V. Belogurova, V. A. Parshina, M. Kh. Movsesian

“…The purpose of this review is to analyze the world literature to determine the risk factors for regression and factors affecting the deviation of the refractive result from the planned one, as well as to analyze the existing nomograms designed to improve the planning and prediction of the results of laser refractive surgery.…”
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An analysis of the factors influencing engagement metrics within the dissemination of health science misinformation by Ruofei Chen, Guoyong Chen, Li Zhang, Ruiqian Xie, Ruopeng Chen

“…Non-parametric tests and negative binomial regression models were used to analyze the key influencing factors of misinformation activity.ResultsWeChat exhibited the highest proportion of health misinformation (44.95%), with the majority originating from individual authors (55.96%), and primarily positive sentiment (37.61%). …”
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Classification of traffic accidents’ factors using TrafficRiskClassifier by Wei Sun, Lili Nurliyana Abdullah, Fatimah binti Khalid, Puteri Suhaiza binti Sulaiman

“…Furthermore, the TrafficRiskClassifier model delineates a functional nexus between accident risk and variables such as weather, road conditions, and personal factors, employing a polynomial regression approach. …”
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Analyzing Influencing Factors of Uterine Rupture in Pregnant Women with Scarred Uterus Undergoing Repeat Delivery and Evaluating the Predictive Value of Lower Uterine Anterior Wall... by Zhang L, Li T, Zhang P, Li C

“…Univariate/multivariate logistic regression and ROC curves were used to identify risk factors and evaluate predictive performance.Results: The rupture group had higher rates of advanced maternal age, prenatal BMI ≥ 30 kg/m², multiparity, single-layer cesarean suturing, and shorter inter-pregnancy intervals (all P< 0.05). …”
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Analysis of Factors Affecting Quality of Life (QoL) in Middle-Aged Stroke Patients (Under 65 Years Old) in the Rehabilitation Phase: Multivariate Regression Analysis by Lumbantobing VBM, Priastomo M, Kosasih CE, Rhamelani P, Anggadiredja K, Adnyana IK

“…Data were collected using an interval-scale paper-based questionnaire and analyzed using univariate analysis techniques and multivariate regression analysis.Results: The results showed that social support, sleep quality, self-esteem, hardiness, spirituality, and psychological well-being affected patients’ QoL in all domains (P = 0.000). …”
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Analysis of the significance and gender differences in the factors influencing antisocial behaviors among adolescents by Wenze Sui, Yan Gao, Liangyu Zhao, Yuke Yang, Lu Chen, Yining Hu, Xiangren Yi, Shuoqin Zhang, Sen Ma

“…Random forest was used to assess the importance of influencing factors, and binary logistic regression analysis was conducted on the top eight identified factors. …”
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