Modeling zero-inflated count data when exposure varies: With an application to tumor counts-Reference-Cited by-同舟云学术

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Modeling zero-inflated count data when exposure varies: With an application to tumor counts

Published:2013-09 Issue:5 Volume:55 Page:679-686
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Baetschmann Gregori¹,Winkelmann Rainer¹

Affiliation:

1. Department of Economics; University of Zurich; CH-8032 Zurich; Switzerland

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference20 articles.

1. The Veterans Administration Study of Chemoprophylaxis for Recurrent Stage I Bladder Tumours: Comparisons of Placebo, Pyridoxine and Topical Thiotepa

2. Economics of self-medication: theory and evidence;Chang;Health Economics,2003

3. A weighted zero-inflated Poisson model for estimation of recurrence of adenomas;Hsu;Statistical Methods in Medical Research,2007

4. Generalized Poisson distribution: the property of mixture of Poisson and comparison with negative binomial distribution;Joe;Biometrical Journal,2005

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1. Bayesian shrinkage estimation of credible subgroups for count data with excess zeros;Statistics in Biopharmaceutical Research;2024-08-05

2. Domestic accountability and non-compliance with international law: Evidence from the Inter-American Court of Human Rights;Journal of Peace Research;2023-12-09

3. ON THE ZERO AND k-INFLATED NEGATIVE BINOMIAL DISTRIBUTION WITH APPLICATIONS;Advances and Applications in Statistics;2023-05-29

4. Zero‐inflated Poisson models with measurement error in the response;Biometrics;2022-04-20

5. A zero-inflated mixture spatially varying coefficient modeling of cholera incidences;Spatial Statistics;2022-04

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