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Reversible regression in early childhood
Published 2021-10-01“…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...
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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Analysis of Poverty Status of Ebonyi State Farming Households
Published 2021-07-01“…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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ANALISIS REGRESI LOGISTIK ORDINAL FAKTOR-FAKTOR YANG MEMPENGARUHI STATUS BEASISWA MAHASISWA DI UNIVERSITAS MATARAM
Published 2020-06-01“…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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COMPARISON OF POISSON REGRESSION AND GENERALIZED POISSON REGRESSION IN MODELING THE NUMBER OF INFANT MORTALITY IN WEST JAVA 2022
Published 2025-01-01“…However, the analysis found overdispersion, where the variance significantly exceeds the mean, making Poisson regression unsuitable. …”
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Some morphometric traits of Rita rita from Southern Punjab, Pakistan
Published 2025-01-01“…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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Development and validation of a predictive model for sarcopenia risk in older Chinese adults based on key factors
Published 2025-07-01“…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
Published 2025-01-01“…"<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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A COMPARISON OF LOGISTIC REGRESSION AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION (GWLR) ON COVID-19 DATA IN WEST SUMATRA
Published 2023-09-01“…This research analyzed factors that affect the recovery time of Covid-19 sufferers in West Sumatra. …”
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Epidemiological characteristics and influencing factors of scrub typhus in Jiangxi Province
Published 2025-07-01“…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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Unveiling the Riddoch phenomenon: a regression analysis of stroke-induced homonymous hemianopia
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Regression Models in Analysis of the Laryngeal Cancer Incidence Trends in Females in Podkarpackie Voivodship
Published 2017-05-01“…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
Published 2025-07-01“…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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COMPETITIVENESS AND DEVELOPMENT PHARMACEUTICAL INDUSTRY OF KAZAKHSTAN
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Geographical factors influencing household cookstove choices in Nepal
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Regional factors affecting the prevalence of hypertension using geographic information system
Published 2025-08-01“…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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Anemia prevalence and associated factors among students benefiting from the rural compulsory education nutrition improvement program in Jilin province in 2023: a cross-sectional st...
Published 2025-06-01“…The chi-square test and multivariate binary logistic regression analysis were used to analyze the anemia status and its influencing factors among the students. …”
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