Results 61 to 70 of about 9,896 (146)

Factors associated with scientific production citations in dentistry: Zero-inflated negative binomial regression and hurdle modelling. [PDF]

F1000Res, 2023
Millones-Gómez PA, Minchón-Medina CA, Rodríguez-Salazar DY, Delgado-Caramutti JGA, Valencia-Arias A.   +4 more
europepmc   +1 more source

Impact of parental education on number of under five children death per mother in Bangladesh.

PLoS ONE
One of the leading challenges of social development is the reduction of children's deaths under the age of five. The primary focus of this research is to study the potential impact of parental education on under five children death in Bangladesh ...
Farzana Afroz, Md Muddasir Hossain Akib, Bikash Pal, Abida Sultana Asha   +3 more
doaj   +1 more source

Analysis of dental caries using generalized linear and count regression models [PDF]

Revista Română de Statistică, 2013
Generalized linear models (GLM) are generalization of linear regression models, which allow fitting regression models to response data in all the sciences especially medical and dental sciences that follow a general exponential family. These are flexible
Javali M. Phil, Parameshwar V. Pandit
doaj  

Infants' gut microbiome data: A Bayesian Marginal Zero-inflated Negative Binomial regression model for multivariate analyses of count data. [PDF]

Comput Struct Biotechnol J, 2023
Hajihosseini M, Amini P, Saidi-Mehrabad A, Dinu I.   +3 more
europepmc   +1 more source

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. [PDF]

Iran J Public Health, 2023
Ok JS, Kim H, Kang K, Myong JP, Heo JH.
europepmc   +1 more source

Bayesian Variable Selection for Zero-inflated Longitudinal Count Data

Revstat Statistical Journal
In this paper, we consider Bayesian variable selection in the special cases of the zero-inflated power series model, viz., zero-inflated Poisson and negative binomial models for zero-inflated longitudinal count data.
Nawar Alsalim, Taban Baghfalaki
doaj   +1 more source

A Bayesian zero-inflated negative binomial regression model for the integrative analysis of microbiome data. [PDF]

Biostatistics, 2021
Jiang S, Xiao G, Koh AY, Kim J, Li Q, Zhan X.   +5 more
europepmc   +1 more source

COVID-19 Mortality, Human Development, and Age Across the WHO Member States: A Longitudinal Multilevel Count Data Analysis

Computers
This study aims to verify whether there is a statistically significant relationship between COVID-19 mortality rates, the Human Development Index (HDI), and population age across the World Health Organisation (WHO) member states.
José Clemente Jacinto Ferreira, Ana Paula Matias Gama, Luiz Paulo Fávero, Ricardo Goulart Serra, Patrícia Belfiore, Igor Pinheiro de Araújo Costa, Miguel Ângelo Lellis Moreira, Marcos dos Santos, Wilson Tarantin Junior   +8 more
doaj   +1 more source

Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression. [PDF]

J Comput Biol, 2022
Du Y, Laperriere SM, Fuhrman J, Sun F.
europepmc   +1 more source

Zim4rv: an R package to modeling zero-inflated count phenotype on regional-based rare variants

BMC Bioinformatics
Background With the advance of next-generation sequencing, various gene-based rare variant association tests have been developed, particularly for binary and continuous phenotypes.
Xiaomin Liu, Yi-Ju Li, Qiao Fan
doaj   +1 more source