Binomial Regression
Assessing Public Awareness about the Health Effects of Nicotine and Cigarettes Using Negative Binomial Regression
... negative binomial model, both the Person Chi-square and deviance ratios are sufficiently close to 1, indicating that the negative binomial model fits the data well, whereas the Poisson model does ...Poisson ...
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Estimation for Zero-Inflated Beta-Binomial Regression Model with Missing Response and Covariate Measurement Error
... the binomial or beta-binomial responses might be ...estimate regression coefficients in a binomial regression model when the nonresponse is ...negative binomial model with ...
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Modelling Incidents of Building Collapse Data in Nigeria, Using Poisson and Negative Binomial Regression Models
... Negative binomial regression model is the better model suitable for modeling incident of building collapse in Nigeria as considered in this study. Substandard Materials (STM), Wrong Construction Method ...
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Modelling of Gully Erosion Site Data in Southeastern Nigeria, Using Poisson and Negative Binomial Regression Models
... negative binomial regression models to identify the major factors that contribute to gully erosion development in Southeastern Nigeria and to ascertain better model suitable for prediction of gully erosion, ...
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Hurdle negative binomial regression model with right censored count data
... mial regression model in right censored ...negative binomial regression model is defined and the likelihood function of hurdle negative binomial regression model in right censored data ...
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Zero inflated Poisson and negative binomial regression models: application in education
... Poisson regression with the failed courses as the response variable, the varia- bles of gender and marital status have in- verse and positive relationship to the num- ber of failed courses, respectively, and the ...
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Normalization and variance stabilization of single cell RNA seq data using regularized negative binomial regression
... negative binomial regression still exhibited substantial variation across genes, particularly for lowly abundant genes (Additional file 2: Figure ...
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TREND ANALYSIS OF TUBERCULOSIS CASES AND THE EFFECT OF HIV CASES ON TUBERCULOSIS CASES IN SOME WEST AFRICAN COUNTRIES USING PANEL POISSON AND NEGATIVE BINOMIAL REGRESSION MODELS
... Poisson regression model and Negative binomial regression model for fixed and random effects were used to analyzed the count data, the result revealed a positive trend in TB cases while increased in ...
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Emergence of Independent Candidates: A Negative Binomial Regression Model of an Indian Parliamentary Election
... The paper specifies a model of the first-past-the-post (FPTP) electoral system in which political parties themselves float independent candidates to gain electoral advantage, leading to a Prisoners’ Dilemma type game ...
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Odds ratios from logistic, geometric, Poisson, and negative binomial regression models
... logistic regression produces substantially higher point estimates than the Poisson regression with log odds link ...tic regression model (average relative width of 68%), but the large difference in ...
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Negative Binomial Regression »
... known regression coefficients, then re- cover the coefficients using maximum likelihood ...negative binomial dis- tribution with mean given by (2), using p = 2, a = ...
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Adjusted Risk Difference Estimation: An Assessment of Convergence Problems with Application to Malaria Efficacy Studies
... A common measure of treatment effect in malaria efficacy studies is the risk difference, which can be estimated using binomial regression models. These models can fail to provide estimates, however, due to ...
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Thesis
... Poisson regression and negative binomial regression, and an alternative density ratio ...Poisson regression, and negative binomial regression will be applied and evaluated using ...
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Effect of cropping policy on landowner reactions towards wildlife: a case of Naivasha area, Kenya
... negative binomial regression models are employed to estimate the effect of the wildlife cropping and policy and other factors on the frequency of wildlife damage incidences reported at the KWS ...
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The power-Cauchy negative-binomial: properties and regression
... negative-binomial regression model for censored data, which includes as sub-models some widely known regression models that can be applied to censored ...
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Volume 30 - Article 5 | Pages 151–186
... Cox regression analysis of stopping behavior and negative binomial regression of net family size indicated that during the early phase of the Dutch fertility transition (18[r] ...
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A field based modeling study on ecological characterization of hourly host seeking behavior and its associated climatic variables in Aedes albopictus
... negative binomial distribution, we applied negative binomial regression models in the Bayesian frame- work to assess the associations between hourly host- seeking behaviors of mosquitoes and their ...
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ON THE TRENDS OF REGISTERED BIRTH AND DEATH RATES IN NIGERIA: EVIDENCE FROM GENERALIZED LINEAR MODELS
... Negative Binomial GLM for birth rate using the log ...Negative Binomial GLM for birth rate using the identity ...Negative Binomial Regression Model with Identity ...
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Strategic Emerging Industries in China: Literature Review and Research Prospect
... negative binomial regression, this study shows that the higher level of regional economic development and the more significantly advantage of regional location, the more beneficial to improve the ...
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Transmission and Progression to Disease of Mycobacterium tuberculosis Phylogenetic Lineages in The Netherlands
... negative binomial regression models adjusted for patient- related factors and stratified by patient ethnicity were used to determine the association between phylogenetic lineages and in- fectivity (mean ...
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