Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study
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Publication:2802552
DOI10.1002/bimj.201400233zbMath1381.62280OpenAlexW1920810040WikidataQ31004688 ScholiaQ31004688MaRDI QIDQ2802552
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Publication date: 26 April 2016
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: http://dro.dur.ac.uk/17160/1/17160.pdf
Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)
Related Items (7)
A new mixed‐effects regression model for the analysis of zero‐modified hierarchical count data ⋮ Location Multiplicative Error Models with Quasi Maximum Likelihood Estimation ⋮ Extended Poisson–Tweedie: Properties and regression models for count data ⋮ A new and intuitive test for zero modification ⋮ Flexible regression models for counts with high-inflation of zeros ⋮ Some goodness-of-fit tests for the Poisson distribution with applications in biodosimetry ⋮ Bayesian approach for the zero-modified Poisson-Lindley regression model
Uses Software
Cites Work
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- Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
- A Score Test for Zero Inflation in a Poisson Distribution
- Two‐part regression models for longitudinal zero‐inflated count data
- A new inverse regression model applied to radiation biodosimetry
- Count Data Distributions
- A new look at the statistical model identification
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