Group regularization for zero-inflated negative binomial regression models with an application to health care demand in Germany.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7804
Abstract: In many biomedical applications, covariates are naturally grouped, with variables in the same group being systematically related or statistically correlated. Under such settings, variable selection must be conducted at both group and individual variable levels.… read more here.
Keywords: regression models; group; zero inflated; group regularization ... See more keywords
Distribution-free model selection for longitudinal zero-inflated count data with missing responses and covariates.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9411
Abstract: In many medical and social science studies, count responses with excess zeros are very common and often the primary outcome of interest. Such count responses are usually generated under some clustered correlation structures due to… read more here.
Keywords: count; zero inflated; model; distribution ... See more keywords
A novel causal mediation analysis approach for zero‐inflated mediators
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DOI: 10.1002/sim.9689
Abstract: Mediation analyses play important roles in making causal inference in biomedical research to examine causal pathways that may be mediated by one or more intermediate variables (ie, mediators). Although mediation frameworks have been well established… read more here.
Keywords: mediation analysis; causal mediation; mediation; zero inflated ... See more keywords
Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model
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DOI: 10.1007/s00362-015-0683-1
Abstract: The zero inflated hyper-Poisson regression model permits count data to be analysed with covariates that determine different levels of dispersion and that present structural zeros due to the existence of a non-users group. A simulation… read more here.
Keywords: regression model; zero inflated; model; dispersion ... See more keywords
Combining zero-inflated negative binomial regression with MLRT techniques: An approach to evaluating shipping accident casualties
Sign Up to like & getrecommendations! Published in 2018 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2018.08.011
Abstract: Abstract This study aims to develop a maximum likelihood regression tree-based (MLRT) ZINB (zero-inflated negative binomial) model to predict shipping accident mortality, and also to examine the factors which affect the loss of human life… read more here.
Keywords: regression; zero inflated; shipping accident; negative binomial ... See more keywords
Statistical models for helminth faecal egg counts in sheep and goats
Sign Up to like & getrecommendations! Published in 2019 at "Small Ruminant Research"
DOI: 10.1016/j.smallrumres.2018.11.006
Abstract: Abstract To address the problem of prevalence of gastrointestinal parasite infections faced by rural livestock farmers in the Free State Province of South Africa, we model the distribution of faecal egg counts of parasitic helminths… read more here.
Keywords: zero inflated; sheep goats; negative binomial; egg ... See more keywords
Simulating comparisons of different computing algorithms fitting zero-inflated Poisson models for zero abundant counts
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1327590
Abstract: ABSTRACT Zero-inflated Poisson models are frequently used to analyse count data with excess zeroes. However, results generated by different algorithms, by various statistical packages or procedures in R and SAS, are often inconsistent, especially for… read more here.
Keywords: poisson models; simulating comparisons; different computing; zero inflated ... See more keywords
Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1590580
Abstract: Abstract While excess zeros are often thought to cause data over-dispersion (i.e. when the variance exceeds the mean), this implication is not absolute. One should instead consider a flexible class of distributions that can address… read more here.
Keywords: conway maxwell; sum conway; maxwell poissons; inflated sum ... See more keywords
A flexible regression model for zero- and k-inflated count data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2021.1872077
Abstract: Count data with inflated zeros commonly occur in numerous research studies. Accordingly, there is substantive literature regarding zero-inflated Poisson and analogous generalizable count regression models that account for data dispersion via excess zeros. Scenarios exist,… read more here.
Keywords: regression; regression model; zero inflated; flexible regression ... See more keywords
Modeling and inference for counts time series based on zero-inflated exponential family INGARCH models
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DOI: 10.1080/00949655.2021.1890732
Abstract: This study considers statistical inferences such as parameter estimation and change tests for counts time series models where the conditional density of present observations over past information follow a zero-inflated one-parameter exponential family. We verify… read more here.
Keywords: time series; zero inflated; counts time; exponential family ... See more keywords
Zero-inflated beta distribution applied to word frequency and lexical dispersion in corpus linguistics
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DOI: 10.1080/02664763.2019.1636941
Abstract: ABSTRACT Corpus linguistics is the study of language as expressed in a body of texts or documents. The relative frequency of a word within a text and the dispersion of the word across the collection… read more here.
Keywords: word; zero inflated; dispersion; linguistics ... See more keywords