Results 51 to 60 of about 467,081 (213)
Quantifying temporal trends of age-standardized rates with odds
Population Health Metrics, 2018 Background To quantify temporal trends in age-standardized rates of disease, the convention is to fit a linear regression model to log-transformed rates because the slope term provides the estimated annual percentage change.
Chuen Seng Tan +4 more
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Multilevel log linear model to estimate the risk factors associated with infant mortality in Ethiopia: further analysis of 2016 EDHS. [PDF]
BMC Pregnancy Childbirth, 2022 Mulugeta SS +6 more
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Inferring and Modeling Migration Flows Using Mobile Phone Network Data
IEEE Access, 2019 Estimating migration flows and forecasting future trends is important, both to understand the causes and effects of migration and to implement policies directed at supplying particular services.
Soranan Hankaew +5 more
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StatsWe propose a robust linear regression model assuming a log-skew-t distribution for the response variable, with the aim of exploring the association between the covariates and the quantiles of a continuous and positive response variable under skewness and
Raúl Alejandro Morán-Vásquez +2 more
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Log-Linear Model Analysis of Aftershock Sequences: A Review on the 6 February Earthquakes in Turkey
Cumhuriyet Science JournalResearchers have conducted numerous studies on earthquakes and aftershocks, some of which have utilized statistical analysis methods. However, there is no direct research examining the interaction between variables thought to influence aftershocks ...
Gokcen Altun
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Exploring the multidimensional nature of anthropometric indicators for under-five children in India
Indian Journal of Public Health, 2016 This study examined the multidimensional nature of the association of stunting, wasting, and underweight for children below 5 years of age in India using data from the National Family Health Survey (NFHS)-3 (2005-2006).
Ashish Kumar Gupta, Kakoli Borkotoky
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Evaluation Completeness of Esophagus Cancer Registry in Ardabil using Log-Linear model
مجله اپیدمیولوژی ایران, 2015 Background and Objectives: completeness of registration is used as one of the measures of the quality of a cancer registry, which is the degree to which reportable incident cases of cancer in the population of interest is actually recorded in the ...
M Khodadost +4 more
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Change-Point Detection in Multivariate Categorical Processes With Variable Selection
IEEE Access, 2019 Statistical process control (SPC) has been widely used to control and improve the quality of products in manufacturing processes. Currently, a limited number of schemes is available for change-point detection in multivariate categorical processes (MCPs),
Qing He, Weiyan Liu, Junjie Wang
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1972 Summary Log-linear models are extensively used to analyse categorical and “stimulus-response” data. This paper gives an iterative procedure for obtaining maximum likelihood estimates of cell frequencies and of the parameters of a log-linear model in a multinomial experiment.
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Direction of effects in categorical variables: Looking inside the table
Journal for Person-Oriented Research, 2017 In the variable-oriented domain, direction of dependence analysis of metric variables is defined in terms of changes that the independent (or causal) variable has on the univariate distribution of the dependent variable. In this article, we take a person-
Alexander von Eye, Wolfgang Wiedermann
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