Negative Binomial Regression
Risk indicators of oral health status among young adults aged 18 years analyzed by negative binomial regression
... final negative binomial regression model for periodontal health status, only toothbrushing frequency and oral health knowledge score exerted significant ef- fects on the number of sextants with ...
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Modelling of Gully Erosion Site Data in Southeastern Nigeria, Using Poisson and Negative Binomial Regression Models
... From table 6 which ranks the P-values of the better model (Negative binomial Regression) to identify which parameter was more significant also which factor contributed more than the other. Heavy ...
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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 ...
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Zero inflated Poisson and negative binomial regression models: application in education
... gious habit, period of work in a week, gen- der and age are from the variables which affect the academic performance of the stu- dents. Since there are many demographic, educational, and economical factors which affect ...
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Modelling Incidents of Building Collapse Data in Nigeria, Using Poisson and Negative Binomial Regression Models
... and negative binomial regression models to identify the major factors that contributes to building collapse in Nigeria and toascertain the better model suitable for prediction of building collapse or ...
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Assessing Public Awareness about the Health Effects of Nicotine and Cigarettes Using Negative Binomial Regression
... the negative binomial regression model provided an improved fit to the data and accounted better for over dispersion than the Poisson regression model, which assumed that the mean and variance ...
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Hurdle negative binomial regression model with right censored count data
... hurdle negative bino- mial regression model in right censored ...hurdle negative binomial regression model is defined and the likelihood function of hurdle negative ...
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Normalization and variance stabilization of single cell RNA seq data using regularized negative binomial regression
... from negative binomial regression still exhibited substantial variation across genes, particularly for lowly abundant genes (Additional file 2: Figure ...
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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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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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Negative Binomial Regression »
... If the dependent variable Y counts the number of events during a specified time interval t, then the observed rate Y ê t can be modeled by using the traditional negative binomial model above, with a slight ...
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Effect of cropping policy on landowner reactions towards wildlife: a case of Naivasha area, Kenya
... 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 incidences reported at the KWS ...
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... Poisson regression model (PRM) is used as the basis for modelling count responses under the assumption that the conditional mean of the outcome variable is equal to the conditional variance (equi-dispersion) ...
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Semistructured black-box prediction: proposed approach for asthma admissions in London
... of the data from January 1, 2006 to December 31, 2006. Three bivariate and four multivariate predictive models were generated (Figures 4 and 5, Appendix 1) and compared based on their Akaike information criterion (Table ...
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Quantile regression for overdispersed count data: a hierarchical method
... resulting regression parameter estimates. It can be seen that nega- tive binomial regression is most vitiated by response outliers, this distortion increasing with ...than negative ...
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Transmission and Progression to Disease of Mycobacterium tuberculosis Phylogenetic Lineages in The Netherlands
... Multivariate 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- ...
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Analysis of partial and complete protection in malaria cohort studies
... or negative bino- mial distribution, and may form a distinct sub-group, but this is less frequently ...and negative binomial regression models can be used to address such situations [5], and ...
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Handling Overdispersion in Mortality Data in Time-Series Epidemiologic Research Using SAS Software
... Poisson regression model. However, the Negative Binomial distribution has been widely suggested as the alternative to the Poisson when there is proof of overdispersion ...and Negative ...
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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
... a negative binomial distribution, we applied negative binomial regression models in the Bayesian frame- work to assess the associations between hourly host- seeking behaviors of ...
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Artemisinin based combination therapy during pregnancy: outcome of pregnancy and infant mortality: a cohort study
... Poisson regression or negative binomial regression model [19] adjusted for covariates: country, treatment, maternal age, delivery (gestational age, Hb, parasite density, baby Hb), birth ...
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