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multivariable negative binomial regression model (STATA Corporation)

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STATA Corporation multivariable negative binomial regression model
Multivariable Negative Binomial Regression Model, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/binomial+regression+model/multivariable+negative+binomial+regression+model/pm40383998-67-9-19
Average 90 stars, based on 1 article reviews

multivariable negative binomial regression model - by Bioz Stars, 2026-11

90/100 stars

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Article Title: Insecticide-treated bed nets and residual indoor spraying reduce malaria in areas with low transmission: a reanalysis of the Maltrials study
Article Snippet: This paper uses a negative binomial regression model (Stata software; (Stata Corp, College Station, TX, USA) menbreg command.

Article Title: Vectorial capacity and TEP1 genotypes of Anopheles gambiae sensu lato mosquitoes on the Kenyan coast
Article Snippet: The data were further analysed using a generalised negative binomial regression model with a log link and robust errors, where the dependent variable was the number of mosquitoes collected, and the independent variables were site (indicator variable), day, and household using STATA v 17.0 (StataCorp, College Station, TX, USA).

Article Title: The impact of COVID-19 vaccination program in the Republic of San Marino: focus on effectiveness of Gam-COVID-Vac
Article Snippet: A negative binomial regression model (nbreg command in STATA), better suited for over-dispersion of variance than the traditional Poisson regression method, was used to derive Incidence Rate Ratios (IRRs) with 95% CIs for each outcome, comparing incidence in those fully vaccinated (overall or with Gam-COVID-Vac only) with that observed in unvaccinated, using exposure command to account for varying patient-days across strata.

Article Title: Anopheles merus distribution and TEP1 genotypes along the Kenyan coast
Article Snippet: The data was further analysed using a generalised negative binomial regression model with a log link and robust errors whereby the dependent variable was the number of collected mosquitoes, and the independent variables were site (indicator variable), day and household using STATA v17.0 (StataCorp, College Station, TX, USA).

Software:

Article Title: Pediatric Renal Cell Carcinoma (pRCC) Subpopulation Environmental Differentials in Survival Disadvantage of Black/African American Children in the United States: Large-Cohort Evidence
Article Snippet: .. The trend and rate analyses were performed using SEER Stats version 8.3.5 (NCI, SEER), while the Binomial Regression model and survival analysis were performed with the Cox proportional model, using STATA statistical software, version 17.0 (STATA Corporation, College Station, TX, USA). ..

Article Title: Pediatric Renal Cell Carcinoma (pRCC) Subpopulation Environmental Differentials in Survival Disadvantage of Black/African American Children in the United States: Large-Cohort Evidence.
Article Snippet: .. The trend and rate analyses were performed using SEER Stats version 8.3.5 (NCI, SEER), while the Binomial Regression model and survival analysis were performed with the Cox proportional model, using STATA statistical software, version 17.0 (STATA Corporation, College Station, TX, USA). ..

Dispersion:

Article Title: Evolution Characteristics and Influencing Factors of City Networks in China: A Case Study of Cross-Regional Automobile Enterprises
Article Snippet: .. Since the dependent variable is a counting variable and the difference between mean and variance is large, meaning there is “excessive dispersion,” a panel-negative binomial regression model was adopted and calculated in Stata 16. ..