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Showing 1 to 20 of 25 for “"Poisson Regression Model"”.
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A poisson regression model for assessing force majeure claims
Empirical legal analysis is an emerging discipline of statistical and legal scholarship. Despite its importance, however, there is a lack of empirical research on the affirmative defense of force majeure, which eliminates liability for a breach of contract in the case of an unforeseeable and …
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Optimal Experimental Designs for the Poisson Regression Model in Toxicity Studies
… experimental designs for generalized linear models have received increasing attention in recent years. Yet, most of the current research focuses on binary data models especially the one-variable first-order logistic regression model. This research extends this topic to count data models. The …
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Regression analysis for estimation of the influencing factors on road accident injuries in Oman Poisson Regression Model and Poisson Alternatives
Road safety programs use statistical models to predict the occurrence of accidents and casualties and to identify the influencing factors that affect their occurrence. They are also used to identify the causes of an accident and the hazardous locations where more accidents happen (the hot spots or …
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Associated factor of mortality rate amongst patients with AIDS and HIV-TB co-infections using zero inflated negative binomial method
… variable is a nonnegative count variable, a Poisson regression model is commonly used to explain the relationship between the outcome variable and a set of explanatory variables. However, if extra-zero Poisson counts are observed, it has been suggested that a zero-inflated Poisson regression …
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Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models.
… for three different types of statistical models. The models are a seemingly unrelated regression model, a bivariate Poisson regression model, and a model of two inversely-related Poisson rate parameters with misclassified data. The seemingly unrelated regression (SUR) model promotes more …
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A Piecewise Linear Generalized Poisson Regression Approach to Modeling Longitudinal Frequency Data
… among</p><p> experimental groups. Standard modeling techniques, such as repeated measures ANOVA, are inadequate for application to longitudinal frequency data because they ignore the correlation between the measurements as well as the discrete nature of the data. We present a …
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Spatial Poisson regression : Bayesian approach correcting for measurement error with applications.
… count data. McBride (2006) proposed a Bayesian Poisson regression model which accounts for overdispersion in count data. We extend this model by adding parameters to accommodate the problems associated with under and over reporting in the count data. We then study the model's coverage, power, …
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Subjective cognitive decline and related worry: Examining biopsychosocial correlates in mid-age and older Canadians
… worry. Methods: In our primary analysis using a Poisson regression model, associations between biopsychosocial variables and SCD were identified (analytic sample: n=21,920). In a second analysis using an ordinal regression model, associations between biopsychosocial variables and SCD-related …
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Prostate cancer incidence and mortality among immigrants in Finland between 2000 and 2017 – a register-based cohort study
… (2000–2017) were analyzed with the multivariate Poisson regression model for the groups, non-Western and Western immigrants separately. Results and Interpretation Non-Western men had a relative risk (RR) of 0.663 (95% confidence interval [CI] 0.609–0.722) for cases and 0.803 (0.646–0.997) for …
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Lyme Disease Emergence in Virginia: An Examination of the Demographic and Environmental Variables Correlated to the Spatial Pattern of Disease Incidence
… tracts. Analysis was carried out using a spatial Poisson regression model. Of the original 15 variables, 10 were significantly correlated to Lyme disease. The six that were positively correlated with disease incidence include percent herbaceous land, percent water, two edge contrast measurements …
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Presentation And Understanding Of Mortality Through Geospatial And Administrative Boundaries: An Examination Of Rates And Correlates Of Mortality In Texas Census Tracts
… cancer, and stroke) and through multilevel regression analyses of deaths at the census tract level, adjusting for individual and tract and demographic and socioeconomic factors. County-level, mortality rates were developed for three racial/ethnic groups in Texas, non-Hispanic Whites, …
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Impact of Air Pollution on Stroke Incidence in Texas
… pollutant as independent variables, a linear regression analysis was done. A linear regression analysis with subsets of the data was also performed. In subset analysis, log of the population was added as a covariate. Analyses revealed significant pollutants for stroke mortality. A similar …
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Advanced methods for prediction of animal-related outages in overhead distribution systems
… along with historical outage data for prediction models. Poisson regression model, neural network model, wavelet based neural network model and Bayesian model combined with Monte Carlo simulations are applied to the weekly data of different cites. Even though Poisson regression models, Bayesian …
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Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data
… part of this work we present how the simple SCCS model can be applied to the surveillance problem, and compare the results of simple SCCS to those of existing methods. Many current surveillance methods are based on marginal associations between drug exposures and AEs. Such analyses ignore …
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Political Cultures in Times of Crisis: Measuring the Effects of Liberal Values on Interstate Crisis Onset
… surrounding measures for democracy and the modeling of interstate interactions (country level, dyad level, regional level, etc.). A seminal study in this project of establishing empirical support for democratic peace theory is Stuart Bremer’s 1992 article “Dangerous Dyads,” that helped …
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Trends and derteminants of adelescent fertility in Zimbabwe
… and cohort-period fertility estimates. The Poisson regression model and the tfr2 module developed by Schoumaker (2013) are used to calculate age-period fertility estimates (ASFRS). Cohort- period fertility rates (CPFRs) were calculated using a method developed by Moultrie, Dorrington, Hill …
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Evaluation of the Moringa oleifera leaf meal effects on milk yield, milk quality and the helminthic load of saanen dairy goats in rangeland conditions at Neudamm farm
… data were analysed using the General linear model and the parasitic egg counts were analysed using the generalised linear model (Poisson regression model). The comparison of means was done using Duncan’s new multiple range test at P<0.05 significance. The goat milk yields significantly …
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Evaluation of soybean cyst nematode (SCN) resistance in perennial glycine species and genome-wide association mapping and genomic prediction study for SCN resistance in common bean and prediction of the short distance movement of soybean rust urediniospores through machine learning
… of my thesis focuses on developing mathematical models to predict the disease epidemic of soybean rust (Phakopsora packyrhizi), another devastating fungal disease of soybean with rapid establishment and development in the fields, using environmental and biological variables. Four machine learning …
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Statistical modelling of the association between dietary diversity, dietary patterns and non-communicable diseases in Namibia
… the study aimed at: (i) applying count models on dietary diversity in Namibia, (ii) using bivariate count modelling approach in analyzing convenience and non-convenience consumption food preference in Windhoek, (iii) applying copula joint modelling of food insecurity indicators with …
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Factors associated with injuries in road-runners at a local athletic club
… rate along with 95% confidence interval. The Poisson regression model was used to analyse the association between running injury and the independent variables of interest such as demographics, anthropometric measurements, training methods, running experience and previous injury. The alpha …
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