Cargando…

Zero inflated Poisson and negative binomial regression models: application in education

Background: The number of failed courses and semesters in students are indicators of their performance. These amounts have zero inflated (ZI) distributions. Using ZI Poisson and negative binomial distributions we can model these count data to find the associated factors and estimate the parameters....

Descripción completa

Detalles Bibliográficos
Autores principales:	Salehi, Masoud, Roudbari, Masoud
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Iran University of Medical Sciences 2015
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764272/ https://www.ncbi.nlm.nih.gov/pubmed/26913260

Ejemplares similares

Evaluation of negative binomial and zero-inflated negative binomial models for the analysis of zero-inflated count data: application to the telemedicine for children with medical complexity trial
por: Lee, Kyung Hyun, et al.
Publicado: (2023)

A bivariate zero-inflated negative binomial model and its applications to biomedical settings
por: Cho, Hunyong, et al.
Publicado: (2023)

Geographically weighted bivariate zero inflated generalized Poisson regression model and its application
por: Purhadi, et al.
Publicado: (2021)

A Dynamical and Zero-Inflated Negative Binomial Regression Modelling of Malaria Incidence in Limpopo Province, South Africa
por: Abiodun, Gbenga J., et al.
Publicado: (2019)

Odds ratios from logistic, geometric, Poisson, and negative binomial regression models
por: Sroka, Christopher J., et al.
Publicado: (2018)

A comparison between Poisson and zero-inflated Poisson regression models with an application to number of black spots in Corriedale sheep
por: Naya, Hugo, et al.
Publicado: (2008)

NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis
por: Zhang, Xinyan, et al.
Publicado: (2020)

Too many zeros and/or highly skewed? A tutorial on modelling health behaviour as count data with Poisson and negative binomial regression
por: Green, James A.
Publicado: (2021)

Spatial analysis of G.f.fuscipes abundance in Uganda using Poisson and Zero-Inflated Poisson regression models
por: Mugenyi, Albert, et al.
Publicado: (2021)

Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression
por: Subramaniyam, Siddharth, et al.
Publicado: (2019)

Infants’ gut microbiome data: A Bayesian Marginal Zero-inflated Negative Binomial regression model for multivariate analyses of count data
por: Hajihosseini, Morteza, et al.
Publicado: (2023)

Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis
por: Mun, Eun-Young, et al.
Publicado: (2022)

Application of Zero-Inflated Poisson Mixed Models in Prognostic Factors of Hepatitis C
por: Akbarzadeh Baghban, Alireza, et al.
Publicado: (2013)

Risk Factors Influencing Cyberbullying Perpetration among Middle School Students in Korea: Analysis Using the Zero-Inflated Negative Binomial Regression Model
por: Kang, Kyung Im, et al.
Publicado: (2021)

Modeling schistosomiasis spatial risk dynamics over time in Rwanda using zero-inflated Poisson regression
por: Nyandwi, Elias, et al.
Publicado: (2020)

An investigation of lower urinary tract symptoms and its potential associated factors in adult Chinese women with zero-inflated negative binomial regression model
por: Xu, Tao, et al.
Publicado: (2019)

Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models
por: Farhadian, Maryam, et al.
Publicado: (2021)

Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression
por: Sun, Shuai, et al.
Publicado: (2021)

Assessment of length of stay in a general surgical unit using a zero-inflated generalized Poisson regression
por: Farhadi Hassankiadeh, Roghaye, et al.
Publicado: (2017)

Negative-Binomial and quasi-poisson regressions between COVID-19, mobility and environment in São Paulo, Brazil
por: Ibarra-Espinosa, Sergio, et al.
Publicado: (2022)

Artificial neural networks versus bivariate logistic regression in prediction diagnosis of patients with hypertension and diabetes
por: Adavi, Mehdi, et al.
Publicado: (2016)

An integer GARCH model for a Poisson process with time-varying zero-inflation
por: Ratnayake, Isuru Panduka, et al.
Publicado: (2023)

Factors associated with mortality from tuberculosis in Iran: an application of a generalized estimating equation-based zero-inflated negative binomial model to national registry data
por: Sarvi, Fatemeh, et al.
Publicado: (2019)

Risk Factors Influencing the Severity of Cognitive Decline in Elderly Taxi Drivers Over 65 Years of Age: Applying a Zero-Inflated Negative Binomial Regression Model
por: Ok, Jong Sun, et al.
Publicado: (2023)

Estimating the Burden of Malaria in Senegal: Bayesian Zero-Inflated Binomial Geostatistical Modeling of the MIS 2008 Data
por: Giardina, Federica, et al.
Publicado: (2012)

Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr × Holstein F2 population
por: Silva, Fabyano Fonseca, et al.
Publicado: (2011)

Improved estimation in negative binomial regression
por: Kenne Pagui, Euloge Clovis, et al.
Publicado: (2022)

On bounds in Poisson approximation for distributions of independent negative-binomial distributed random variables
por: Hung, Tran Loc, et al.
Publicado: (2016)

Risk of adverse events in gastrointestinal endoscopy: Zero-inflated Poisson regression mixture model for count data and multinomial logit model for the type of event
por: Gemma, Marco, et al.
Publicado: (2021)

Negative binomial factor regression with application to microbiome data analysis
por: Mishra, Aditya K., et al.
Publicado: (2022)

A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros
por: Ascari, Roberto, et al.
Publicado: (2021)

Correction: Estimating the Burden of Malaria in Senegal: Bayesian Zero-Inflated Binomial Geostatistical Modeling of the MIS 2008 Data
por: Giardina, Federica, et al.
Publicado: (2012)

Correction: Estimating the Burden of Malaria in Senegal: Bayesian Zero-Inflated Binomial Geostatistical Modeling of the MIS 2008 Data
por: Giardina, Federica, et al.
Publicado: (2012)

Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification
por: Chen, Wansu, et al.
Publicado: (2018)

Application of the Truncated Zero-Inflated Double Poisson for Determining of the Effecting Factors on the Number of Coronary Artery Stenosis
por: Orooji, Arezoo, et al.
Publicado: (2022)

Niacin, lutein and zeaxanthin and physical activity have an impact on Charlson comorbidity index using zero-inflated negative binomial regression model: National Health and Nutrition Examination Survey 2013–2014
por: Zhao, Hantong, et al.
Publicado: (2019)

Bayesian Zero- Inflated Poisson model for prognosis of demographic factors associated with using crystal meth in Tehran population
por: Pourhoseingholi, Asma, et al.
Publicado: (2018)

Determination of effective factors on geographic distribution of the incidence of colorectal cancer in Tehran using geographically weighted Poisson regression model
por: Mansori, Kamyar, et al.
Publicado: (2019)

Analysis of Blood Transfusion Data Using Bivariate Zero-Inflated Poisson Model: A Bayesian Approach
por: Mohammadi, Tayeb, et al.
Publicado: (2016)

Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data
por: Tan, Yueying, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_l6850o976mj87t91vot2c0pc4a