Modeling the mite counts having overdispersion and excess values ofzero using zero-inflated generalized poisson regression
نویسندگان
چکیده
منابع مشابه
Score tests for heterogeneity and overdispersion in zero-inflated Poisson and binomial regression models
Hall (2000) has described zero-inflated Poisson and binomial regression models that include random effects to account for excess zeros and additional sources of heterogeneity in the data. The authors of the present paper propose a general score test for the null hypothesis that variance components associated with these random effects are zero. For a zero-inflated Poisson model with random inter...
متن کاملA score test for overdispersion in zero-inflated poisson mixed regression model.
Count data with extra zeros are common in many medical applications. The zero-inflated Poisson (ZIP) regression model is useful to analyse such data. For hierarchical or correlated count data where the observations are either clustered or represent repeated outcomes from individual subjects, a class of ZIP mixed regression models may be appropriate. However, the ZIP parameter estimates can be s...
متن کاملAssessment of length of stay in a general surgical unit using a zero-inflated generalized Poisson regression
Background: The effective use of limited health care resources is of prime importance. Assessing the length of stay (LOS) is especially important in organizing hospital services and health system. This study was conducted to identify predictors of LOS among patients who were admitted to a general surgical unit. Methods: In this cross-sectional study, the sample included all patien...
متن کاملZero-inflated Poisson regression mixture model
Excess zeros and overdispersion are commonly encountered phenomena that limit the use of traditional Poisson regression models for modeling count data. The focus of this paper is on modeling count data in the case that a population has excess zero counts and also consists of several sub-populations in the non-zero counts. The proposed zero-inflated Poisson regression mixture model accounts for ...
متن کاملModeling Zero-Inflated Count Data with Underdispersion and Overdispersion
A common problem in modeling count data is underdispersion or overdispersion. This paper discusses the distinction between overdispersion due to excess zeros and overdispersion due to values that are greater than 0. It shows how to use exploratory data analysis to determine the dispersion patterns and that the dispersion patterns can change depending on the predictors and the subpopulation that...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal Of Agricultural Research
سال: 2016
ISSN: 0976-058X,0367-8245
DOI: 10.18805/ijare.v50i6.6674