Zero-inflated poisson and binomial regression with random effects: A case study

Biometrics

Volumn 56, Issue 4, 2000, Pages 1030-1039

  Hall, D B ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

EM algorithm; Excess zeros; Generalized linear mixed model; Heterogeneity; Mixed effects; Overdispersion; Repeated measures

Indexed keywords

POISSON DISTRIBUTION; RANDOM PROCESSES; REGRESSION ANALYSIS;

CASE-STUDIES; EM ALGORITHMS; EXCESS ZERO; GENERALIZED LINEAR MIXED MODELS; HETEROGENEITY; MIXED EFFECTS; OVERDISPERSION; RANDOM EFFECTS; REPEATED MEASURES; ZERO-INFLATED;

HORTICULTURE;

ALGORITHM; ARTICLE; BIOSTATISTICS; CASE STUDY; REGRESSION ANALYSIS; STATISTICAL MODEL;

ZEROS;

EID: 0033635967     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01030.x     Document Type: Article

References (12)

1. Variance component models with binary responses: Interviewer variability
2. Iteratively reweighted least-squares for maximum likelihood estimation and some robust and resistant alternatives
3. Zero-altered and other regression models for count data with added zeros
4. Compound Poisson regression models
5. Zero-inflated Poisson regression, with an application to defects in manufacturing
6. Maximum likelihood algorithms for generalized linear mixed models
7. Models for count data with many zeros
8. Estimating the dimension of a model
9. Variance component testing in the longitudinal mixed effect model
10. Imidicloprid applications by subirrigation for control of silverleaf whitefly on poinsettia
11. Inference about the mean of a Poisson distribution in the presence of a nuisance parameter