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Published in 2021 at "Psychological methods"
DOI: 10.1037/met0000395
Abstract: Zero responses and their equivalents-for example, never, none, not at all-are commonly observed on measures of psychopathology inquiring about symptom frequencies, particularly when these measures are administered to community samples. Measurement researchers typically accommodate multivariate…
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Keywords:
symptom;
model;
response;
zero inflation ... See more keywords
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Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2022.2096875
Abstract: ABSTRACT Unobserved heterogeneity causing overdispersion and the excessive number of zeros take a prominent place in the methodological development on count modeling. An insight into the mechanisms that induce heterogeneity is required for better understanding…
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Keywords:
heterogeneity;
overdispersion zero;
overdispersion;
count data ... See more keywords
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Published in 2021 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.13559
Abstract: Count data are ubiquitous in ecology and the Poisson generalized linear model (GLM) is commonly used to model the association between counts and explanatory variables of interest. When fitting this model to the data, one…
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Keywords:
model selection;
zero inflation;
inflation;
model ... See more keywords
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Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0285769
Abstract: A serially dependent Poisson process with time-varying zero-inflation is proposed. Such formulations have the potential to model count data time series arising from phenomena such as infectious diseases that ebb and flow over time. The…
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Keywords:
zero inflation;
time;
poisson process;
model ... See more keywords