Reversible regression in early childhood by I. V. Makarov, S. A. Krasnoshchekov

“…The authors analyze the available data, express the opinion that the possibilities of reversible regression therapy in children have not been studied, there are no accurate data on the pathogenesis of these disorders, indicate the need to assess the dynamics of the condition, taking into account the age and sex factors of the child.The authors conclude that reversible regression is a pathological condition developing against a background of relatively favorable child development, in which there is a prolonged decay of previously acquired skills followed by partial or complete recovery. …”
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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... by Abel Endawkie, Desale B. Asmamaw, Awoke Keleb, Yawkal Tsega

“…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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Genotype × environment interaction analysis and climatic factors impacts on grain yield in rainfed durum wheat trials in Iran by Reza Mohammadi, Moslem Abdipour, Mahnaz Rahmati, Mohammad Armion, Nastaran Mehri, Asghar Mehraban

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Some morphometric traits of Rita rita from Southern Punjab, Pakistan by Saif ur Rehman, Naheed Bano, Muhammad Asif Raza, Hafiz Muhammad Ishaq

“…In this research work, forty five (45) specimens of Rita rita inhabiting River Chenab, one of the five rivers of the Punjab Province, were evaluated to observe morphometric and proximate composition of the fish specimens. To analyze the influence of biological factors, condition factor was determined based on body constituents using regression equations. …”
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COMPARISON OF POISSON REGRESSION AND GENERALIZED POISSON REGRESSION IN MODELING THE NUMBER OF INFANT MORTALITY IN WEST JAVA 2022 by Toha Saifudin, Fatiha Nadia Salsabila, Mubadi'ul Fitriani, Azizatul Kholidiyah, Nina Auliyah, Fildzah Tri Januar Ariani, Suliyanto Suliyanto

“…West Java Province consistently ranks third nationally in terms of infant mortality in 2020 and 2021. This study analyzes the factors influencing infant mortality in West Java in 2022 using secondary data from the 2022 West Java Provincial Health Profile. …”
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Development and validation of a predictive model for sarcopenia risk in older Chinese adults based on key factors by Qianwei Sun, Lei Shen, Huamin Liu, Zhangqun Lou, Qi Kong

“…A range of sociodemographic, health, lifestyle, psychological, and biochemical factors were analyzed using multivariable logistic regression. …”
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Analysis of risk factors of acute respiratory failure after radical resection of esophageal cancer by two methods by LEI Xiuwen, ZHU Xiaolei, TIAN Long

“…"<b>Objective</b> To analyze the risk factors of acute respiratory failure (ARF) after radical resection for esophageal cancer by combining logistic regression analysis and association rule analysis. …”
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Analysis of Poverty Status of Ebonyi State Farming Households by Ogechi Cordelia Nwahia, Benjamin Ahmed, Edwin Onyeabor, Stanley Balogun

“…Primary data were collected using electronic data capturing instrument containing the questionnaire and analyzed using descriptive statistics, Foster, Greer and Thorbeecke (FGT), and Logit regression model. …”
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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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Unveiling the Riddoch phenomenon: a regression analysis of stroke-induced homonymous hemianopia by Oranan Tritanon, Suphakarn Kimavaha, Sukanya Siriyotha, Gordon T. Plant, Panitha Jindahra

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Regression Models in Analysis of the Laryngeal Cancer Incidence Trends in Females in Podkarpackie Voivodship by Jan Gawełko, Marek Cierpiał-Wolan, Sebastian Wójcik

“…Dynamics of cancer incidences derived from raw data is misleading. Therefore, to analyze the dynamics of the phenomenon three regression models have been used to remove random disturbance: ARX(1), SVR and Poisson regression model. …”
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Analysis of spatiotemporal evolution and driving factors of ecological environment quality in the Ili-Balkhash Lake Basin in Central Asia by Keyu Chen, Jinjie Wang, Zipeng Zhang, Hongzhi Xiao, Jingming Liu

“…In this study, we constructed the Remote Sensing Ecological Index (RSEI) for the IBLB (2000–2020) using the MODIS dataset on the Google Earth Engine platform and applied Sen’s slope and Mann–Kendall (Sen-MK) trend analysis methods to assess RSEI trends. Additionally, geographic detectors and geographically weighted regression models were used to identify and analyze the global and local factors influencing RSEI. …”
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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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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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Geographical factors influencing household cookstove choices in Nepal by Kyungtae Lee, Alexander Kwon

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Risk factor analysis and predictive model development for healthcare-associated infections post-coronary artery bypass grafting by Yan Liu, Lingbo Xue, Ping Jiang, Jiaojiao Shen, Xiao Peng, Xiaoqiang Yu

“…ObjectiveThis study aimed to analyze the risk factors associated with healthcare-associated infections (HAIs) in individuals who underwent post-coronary artery bypass grafting (CABG) and to develop a predictive model for infection risk assessment.MethodsClinical data were retrospectively collected from patients who underwent CABG at our hospital between January 2019 and December 2023. …”
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Regional factors affecting the prevalence of hypertension using geographic information system by Hyojeong Lee, Jihye Lim

“…The correlation between hypertension prevalence and regional factors was investigated, and spatial statistical techniques such as spatial autocorrelation analysis, hotspot analysis, and geographically weighted regression analysis were performed to identify the spatial dependence of hypertension prevalence, hotspot and coldspot regions, and regional factors affecting regional hypertension prevalence. …”
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Spatial heterogeneity of landslide distribution and its drivers in the Yangtze River Basin: a remote sensing and GIS-based multi-factor analysis by Yun Liu, Yun Liu, Yun Liu, Xibin Han, Xibin Han, Xiaodong Cui, Xiaohu Li, Xiaohu Li, Haiyan Jin, Haiyan Jin

“…IntroductionThe Yangtze River Basin (YRB) is a region of immense economic and ecological significance in China, whose complex topography and climatic variability render it particularly susceptible to landslide disasters.MethodsIn this study, landslide spatial density (LSD) is adopted as a quantitative indicator and multiple linear regression analysis alongside the geographic detector method are employed to evaluate the influence of natural and anthropogenic factors on LSD. …”
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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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Developing PM₂.₅ mitigation solutions based on the analysis of the relationships between PM₂.₅ concentrations and precursor factors: a case study of Hanoi, Vietnam by Long Ta Bui, Binh Quoc Pham, Tho Thi Be Cao

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