A score test for zero‐inflation in correlated count data [PDF]
Statistics in Medicine, 2005 AbstractTo account for the preponderance of zero counts and simultaneous correlation of observations, a class of zero‐inflated Poisson mixed regression models is applicable for accommodating the within‐cluster dependence. In this paper, a score test for zero‐inflation is developed for assessing correlated count data with excess zeros.
Xiang, Liming +3 more
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Estimating the burden of malaria in Senegal : Bayesian zero-inflated binomial geostatistical modeling of the MIS 2008 data [PDF]
, 2012 The Research Center for Human Development in Dakar (CRDH) with the technical assistance of ICF Macro and the National Malaria Control Programme (NMCP) conducted in 2008/2009 the Senegal Malaria Indicator Survey (SMIS), the first nationally representative
Mame Birame Diouf (179715) +39 more
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Exponential dispersion models for overdispersed zero-inflated count data [PDF]
Communications in Statistics - Simulation and Computation, 2021 We consider three new classes of exponential dispersion models of discrete probability distributions which are defined by specifying their variance functions in their mean value parameterization. In a previous paper (Bar-Lev and Ridder, 2020a), we have developed the framework of these classes and proved that they have some desirable properties. Each of
Shaul K. Bar-Lev, Ad Ridder
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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
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Modelling zero-inflated count data when exposure varies: with an application to tumor counts [PDF]
, 2013 This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a modified zero-inflated count data model where the probability of an extra zero is derived from an underlying duration model with Weibull ...
Winkelmann, Rainer +6 more
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Asian Journal of Probability and Statistics, 2019 Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and presence of zeros we tend to look in the direction of other models.
Adarabioyo, M I, Ipinyomi, R A
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Mediation analysis for count and zero-inflated count data [PDF]
Statistical Methods in Medical Research, 2017 Different conventional and causal approaches have been proposed for mediation analysis to better understand the mechanism of a treatment. Count and zero-inflated count data occur in biomedicine, economics, and social sciences. This paper considers mediation analysis for count and zero-inflated count data under the potential outcome framework with ...
Cheng, Jing +5 more
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Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples
Future Internet, 2022 Due to the expansion of the internet, we encounter various types of big data such as web documents or sensing data. Compared to traditional small data such as experimental samples, big data provide more chances to find hidden and novel patterns with big ...
Daiho Uhm, Sunghae Jun
doaj +1 more source
A random-effects zero-inflated Poisson regression model for clustered extra-zero count data.
, 1999 A random-effects zero-inflated Poisson regression model for clustered extra-zero count ...
Kwan. Hur (7967408)
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Bayesian hierarchical modelling of continuous non-negative longitudinal data with a spike at zero : an application to a study of birds visiting gardens in winter [PDF]
, 2015 The development of methods for dealing with continuous data with a spike at zero has lagged behind those for overdispersed or zero‐inflated count data.
Buckland, Steve +14 more
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