A score-type test for heterogeneity in zero-inflated models in a stratified population-Reference-Cited by-同舟云学术

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A score-type test for heterogeneity in zero-inflated models in a stratified population

Published:2014-02-02 Issue:12 Volume:33 Page:2103-2114
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Cao Guanqun¹,Hsu Wei-Wen²,Todem David³

Affiliation:

1. Department of Mathematics and Statistics; Auburn University; Auburn AL 36849 U.S.A.

2. Department of Statistics; Kansas State University; Manhattan KS 66506 U.S.A.

3. Department of Epidemiology and Biostatistics; Michigan State University; East Lansing MI 48824 U.S.A.

Funder

NCI/NIH K-award

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6092/fullpdf

Reference26 articles.

1. Score tests for zero inflation in generalized linear models;Deng;The Canadian Journal of Statistics / La Revue Canadienne de Statistique,2000

2. Score tests for zero-inflation and over-dispersion in generalized linear models;Deng;Statistica Sinica,2005

3. Zero-inflated Poisson and binomial regression with random effects: a case study;Hall;Biometrics,2000

4. Multi-level zero-inflated poisson regression modelling of correlated count data with excess zeros;Lee;Statistical Methods in Medical Research,2006

5. A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives;Ridout;Biometrics,2001

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1. Nonparametric scanning tests of homogeneity for hierarchical models with continuous covariates;Biometrics;2022-12-15

2. Testing latent class of subjects with structural zeros in negative binomial models with applications to gut microbiome data;Statistical Methods in Medical Research;2022-07-27

3. Generalized fiducial inference on the mean of zero-inflated Poisson and Poisson hurdle models;Journal of Statistical Distributions and Applications;2021-03-06

4. Zero‐inflated modeling part I: Traditional zero‐inflated count regression models, their applications, and computational tools;WIREs Computational Statistics;2020-12-14

5. Testing inflated zeros in binomial regression models;Biometrical Journal;2020-09-23

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