Poisson and Negative Binomial regression models
Modelling Incidents of Building Collapse Data in Nigeria, Using Poisson and Negative Binomial Regression Models
... of Poisson and negative binomial regression models to identify the major factors that contributes to building collapse in Nigeria and toascertain the better model suitable for ...
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Poisson and Negative Binomial Regression Models Application to Model the Factors of Car Ownership in Akure, South West, Nigeria
... the Poisson and Negative Binomial Regression models to investigate the influence of household factors on car ownership in Akure metropolis, the capital of Ondo State located in south ...
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Modelling of Gully Erosion Site Data in Southeastern Nigeria, Using Poisson and Negative Binomial Regression Models
... apply Poisson and negative binomial regression models to identify the major factors that contribute to gully erosion development in Southeastern Nigeria and to ascertain better model ...
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Odds ratios from logistic, geometric, Poisson, and negative binomial regression models
... The loss of information from dichotomizing a contin- uous variable prior to analysis has been studied exten- sively. Suissa and Blais [6] examined dichotomizing con- tinuous variables above and below thresholds of clin- ...
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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
... showing Negative binomial panel regression model with fixed effects also show that there is a positive trend in TB cases in West African countries (Time = ...a negative constant value (const = ...
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Zero inflated Poisson and negative binomial regression models: application in education
... health. Poisson regression is of the models which is used in count varia- bles such as the number of blood donations, the number of stopping addiction, the num- ber of failed courses or semester ...
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Effect of cropping policy on landowner reactions towards wildlife: a case of Naivasha area, Kenya
... data, Poisson and 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 ...
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How Vehicle Types and Operator’s Legal Status Affect Safety of Interprovincial Buses in Thailand
... the Poisson and Negative Binomial regression models to examine whether vehicle types and legal status affect safety risks of intercity bus services, focusing on interprovincial routes ...
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Statistical Analysis of Climate Factors Influencing Dengue Incidences in Colombo, Sri Lanka: Poisson and Negative Binomial Regression Approach
... The Poisson and negative binomial regression models were used to fit the ...The Poisson model did not fit the data well due to the overdispersion in the ...The negative ...
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Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan
... Abstract: Malaria is a leading cause of morbidity and mortality in South Sudan. This study is meant to focus on the trend of malaria incidence in Jubek state, South Sudan. Data on weekly malaria incidence for the period ...
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Analysis of partial and complete protection in malaria cohort studies
... a Poisson or negative bino- mial distribution, and may form a distinct sub-group, but this is less frequently ...of Poisson and negative binomial regression models can be ...
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Abstract The Poisson Regression and Negative Binomial
... The Poisson Regression and Negative Binomial Regression models are the conventional statistical models for count ...with Poisson Regression and ...
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ON THE TRENDS OF REGISTERED BIRTH AND DEATH RATES IN NIGERIA: EVIDENCE FROM GENERALIZED LINEAR MODELS
... explored Poisson Regression Models and Negative Binomial Regression Models using two links (identity and ...the models, Negative Binomial ...
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Hurdle negative binomial regression model with right censored count data
... zero-inflated models as two ...hurdle models, such as Pohlmeier and Ulrich (1995), Arulampalam and Booth ...mixture models including a hurdle model and argued its application in the incidence of ...
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Review of crash prediction models and their applicability in black spot identification to improve road safety
... prediction models, and their applications to analyse and identify black spots to improve road ...linear regression, Poisson distribution, negative binomial, random effect technique, and ...
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Handling Overdispersion in Mortality Data in Time-Series Epidemiologic Research Using SAS Software
... using Poisson regression ...a Poisson regression model. However, the Negative Binomial distribution has been widely suggested as the alternative to the Poisson when there ...
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ASSESSING RISK FACTORS OF BUSINESS FAILURE IN THE MANUFACTURING SECTOR: A COUNT DATA APPROACH FROM SWEDEN
... linear) regression models to estimate the influence of risk factors on business failure, a different methodological approach is used in this ...a Poisson Maximum Likelihood Model (ML) and a ...
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CAS: Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions
... count regression analysis has grown considerably in the past ...data models in the context of insurance, so that we can see the advantages of using the information on each policyholder over time for ...
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... data models namely: Poisson regression model (PRM), Negative binomial regression model (NBRM), Zero-inflated Poisson (ZIP), Zero-inflated negative binomial ...
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Applications of some discrete regression models for count data
... several regression models to fit the count data that encounter in the field of Biometrical, Environmental, Social Sciences and Transportation ...fitted Poisson (PO), Negative Binomial ...
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