Hepatoblastoma regional trends: dynamic SDI & joinpoint regression analysis by Miao Jia, Enyang He, Wenjing Sun, Hualei Cui, Hailan Zhao, Wei Zhao, Wei Liu, Zhenhua Guo, Yi Wang, Wei Feng

“…Mali had the highest incidence and mortality rates, whereas Estonia had the lowest. Joinpoint regression analysis revealed a post-2004 slowing of the global decline in age-standardized HB incidence and prevalence, and post-2006 slowing of the global decline in mortality rates. …”
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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... by Songül Aktaş, Tuğba Yazıcı Topçu, Özge Palancı Ay, Ruveyde Aydın

“…Descriptive statistics, including percentages and means, as well as multiple linear regression analysis, were utilized to analyze the data. …”
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Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework by Jamileh Yousefi, Sahand Ashtab, Amirali Yasaei, Allu George, Ali Mukarram, Satinderpal Singh Sandhu

“…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. …”
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Clinical characteristics and risk factors of premature rupture of membranes infection in pregnant and lying-in women by Shufang Xiao, Meimei Lin

“…This method may omit some independent variables, resulting in one-sided analysis results. 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... 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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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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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

“…However, the analysis found overdispersion, where the variance significantly exceeds the mean, making Poisson regression unsuitable. …”
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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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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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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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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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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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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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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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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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Strategic analysis of influence of external and internal factors on stability of the banking sector of a financial system by A. V. Milenkov

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