Results 21 to 30 of about 1,087,600 (300)

Incorporating Zero-Inflated Poisson (ZIP) Regression Model in Crash Frequency Analysis

, 2023
: This paper addresses the Zero-inflated Poisson (ZIP) regression model as an effective way to handle the excess zeros that usually exist in vehicle crash data and to allow for possible overdispersion in the data.
Azad Abdulhafedh
core   +1 more source

A Marginalized Zero-inflated Poisson Regression Model with Random Effects. [PDF]

J R Stat Soc Ser C Appl Stat, 2015
SummaryPublic health research often concerns relationships between exposures and correlated count outcomes. When counts exhibit more 0s than expected under Poisson sampling, the zero-inflated Poisson (ZIP) model with random effects may be used. However, the latent class formulation of the ZIP model can make marginal inference on the population sampled ...
Long DL, Preisser JS, Herring AH, Golin CE.   +3 more
europepmc   +4 more sources

A New Zero-Inflated Negative Binomial Multilevel Model for Forecasting the Demand of Disaster Relief Supplies in the State of Sao Paulo, Brazil

Mathematics, 2022
This article presents the results of the implementation of a forecasting model, to predict the relief materials needed for assisting in decisions prior to natural disasters, thus filling a gap in the exploration of Generalized Linear Mixed Models (GLMM ...
Camila Pareja Yale, Hugo Tsugunobu Yoshida Yoshizaki, Luiz Paulo Fávero   +2 more
doaj   +1 more source

Zero-inflated models for the evaluation of colorectal polyps in colon cancer screening studies—a value-based biostatistics practice [PDF]

PeerJ
Background Colon cancer screening studies are needed for the early detection of colorectal polyps to reduce the risk of colorectal cancer. Unfortunately, the data generated on colon polyps are typically analyzed in their dichotomized form and sometimes ...
Alok K. Dwivedi, Sherif E. Elhanafi, Mohamed O. Othman, Marc J. Zuckerman   +3 more
doaj   +2 more sources

Improving predictor selection for injury modelling methods in male footballers

BMJ Open Sport & Exercise Medicine, 2020
Objectives This objective of this study was to evaluate whether combining existing methods of elastic net for zero-inflated Poisson and zero-inflated Poisson regression methods could improve real-life applicability of injury prediction models in football.
Fraser Philp, Dimitra Blana, Ahmad Al-shallawi, Theocharis Kyriacou, Anand Pandyan   +4 more
doaj   +1 more source

Performance of the Ridge and Liu Estimators in the zero-inflated Bell Regression Model

Journal of Mathematics, 2022
The Poisson regression model is popularly used to model count data. However, the model suffers drawbacks when there is overdispersion—when the mean of the Poisson distribution is not the same as the variance.
Zakariya Yahya Algamal, Adewale F. Lukman, Mohamed R. Abonazel, Fuad A. Awwad   +3 more
doaj   +1 more source

A Comparison of the Robust Zero-Inflated and Hurdle Models with an Application to Maternal Mortality

Mathematical and Computational Applications
This study evaluates the performance of count regression models in the presence of zero inflation, outliers, and overdispersion using both simulated and real-world maternal mortality dataset.
Phelo Pitsha, Raymond T. Chiruka, Chioneso S. Marange   +2 more
doaj   +1 more source

Evaluating the performance of different Bayesian count models in modelling childhood vaccine uptake among children aged 12–23 months in Nigeria

BMC Public Health, 2023
Background Choosing appropriate models for count health outcomes remains a challenge to public health researchers and the validity of the findings thereof.
A. F. Fagbamigbe, T. V. Lawal, K. A. Atoloye   +2 more
doaj   +1 more source

Maximum-Likelihood Estimation for the Zero-Inflated Polynomial-Adjusted Poisson Distribution

Mathematics
We propose the zero-inflated Polynomially Adjusted Poisson (zPAP) model. It extends the usual zero-inflated Poisson by multiplying the Poisson kernel with a nonnegative polynomial, enabling the model to handle extra zeros, overdispersion, skewness, and ...
Jong-Seung Lee, Hyung-Tae Ha
doaj   +1 more source

Zero-inflation in the Multivariate Poisson Lognormal Family

Statistics and Computing
Abstract Analyzing high-dimensional count data is a challenge and statistical model-based approaches provide an adequate and efficient framework thatpreserves explainability. The (multivariate) Poisson-Log-Normal (PLN) modelis one such model: it assumes count data are driven by an underlying structuredlatent Gaussian variable, so that the ...
Batardière, Bastien, Chiquet, Julien, Gindraud, François, Mariadassou, Mahendra   +3 more
openaire   +5 more sources