Distribution‐free model selection for longitudinal zero‐inflated count data with missing responses and covariates
Author:
Affiliation:
1. Graduate Institute of Statistics National Central University Taoyuan Taiwan Republic of China
2. Department of Mathematics National Chung Cheng University Chia‐Yi Taiwan Republic of China
Funder
Ministry of Science and Technology, Taiwan
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9411
Reference34 articles.
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2. Zero-Inflated Poisson and Binomial Regression with Random Effects: A Case Study
3. A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives
4. The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research
5. Theory & Methods: Modelling Correlated Zero‐inflated Count Data
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1. Identification of influencing factors on self-reported count data with multiple potential inflated values;The Annals of Applied Statistics;2024-06-01
2. Estimation and selection for spatial zero‐inflated count models;Environmetrics;2024-04-05
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