Literature DB >> 7662855

A score test for zero inflation in a Poisson distribution.

J van den Broek1.   

Abstract

When analyzing Poisson-count data sometimes a lot of zeros are observed. When there are too many zeros a zero-inflated Poisson distribution can be used. A score test is presented to test whether the number of zeros is too large for a Poisson distribution to fit the data well.

Mesh:

Year:  1995        PMID: 7662855

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  32 in total

1.  A new long-term survival model with dispersion induced by discrete frailty.

Authors:  Vicente G Cancho; Márcia A C Macera; Adriano K Suzuki; Francisco Louzada; Katherine E C Zavaleta
Journal:  Lifetime Data Anal       Date:  2019-04-09       Impact factor: 1.588

2.  New variable selection methods for zero-inflated count data with applications to the substance abuse field.

Authors:  Anne Buu; Norman J Johnson; Runze Li; Xianming Tan
Journal:  Stat Med       Date:  2011-05-12       Impact factor: 2.373

3.  A hierarchical finite mixture model that accommodates zero-inflated counts, non-independence, and heterogeneity.

Authors:  Charity J Morgan; Mark F Lenzenweger; Donald B Rubin; Deborah L Levy
Journal:  Stat Med       Date:  2014-01-20       Impact factor: 2.373

4.  Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR.

Authors:  Franck Diaz-Garelli; Kristin M Lenoir; Brian J Wells
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

5.  On the efficiency of score tests for homogeneity in two-component parametric models for discrete data.

Authors:  David Todem; Wei-Wen Hsu; KyungMann Kim
Journal:  Biometrics       Date:  2012-02-20       Impact factor: 2.571

6.  On performance of parametric and distribution-free models for zero-inflated and over-dispersed count responses.

Authors:  Wan Tang; Naiji Lu; Tian Chen; Wenjuan Wang; Douglas David Gunzler; Yu Han; Xin M Tu
Journal:  Stat Med       Date:  2015-06-15       Impact factor: 2.373

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

Authors:  Guanqun Cao; Wei-Wen Hsu; David Todem
Journal:  Stat Med       Date:  2014-02-02       Impact factor: 2.373

8.  A quasi-score statistic for homogeneity testing against covariate-varying heterogeneity.

Authors:  David Todem; Wei-Wen Hsu; Jason P Fine
Journal:  Scand Stat Theory Appl       Date:  2017-12-14       Impact factor: 1.396

9.  Variance components genetic association test for zero-inflated count outcomes.

Authors:  Matthew O Goodman; Lori Chibnik; Tianxi Cai
Journal:  Genet Epidemiol       Date:  2018-10-24       Impact factor: 2.135

10.  A Goodness-of-fit Test for Zero-Inflated Poisson Mixed Effects Models in Tree Abundance Studies.

Authors:  Juxin Liu; Yanyuan Ma; Jill Johnstone
Journal:  Comput Stat Data Anal       Date:  2019-11-22       Impact factor: 1.681

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.