Beyond mean modelling: Bias due to misspecification of dispersion in Poisson-inverse Gaussian regression-Reference-Cited by-同舟云学术

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Beyond mean modelling: Bias due to misspecification of dispersion in Poisson-inverse Gaussian regression

Published:2018-07-12 Issue:2 Volume:61 Page:333-342
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Heller Gillian Z.¹^ORCID,Couturier Dominique-Laurent²,Heritier Stephane R.³

Affiliation:

1. Department of Statistics; Macquarie University; Sydney Australia

2. Cancer Research UK - Cambridge Institute; University of Cambridge; Cambridge UK

3. School of Public Health and Preventive Medicine; Monash University; Melbourne Australia

Funder

Lundbeck

Publisher

Wiley

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/bimj.201700218/fullpdf

Reference34 articles.

1. Canty , A. Ripley , B. D. 2016 boot: Bootstrap R (S-plus) functions

2. Maximum likelihood, profile likelihood, and penalized likelihood: A primer;Cole;American Journal of Epidemiology,2013

3. Parameter orthogonality and approximate conditional inference;Cox;Journal of the Royal Statistical Society, Series B (Methodological),1987

4. Bootstrap Methods and their Application

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling Overdispersed Dengue Data via Poisson Inverse Gaussian Regression Model: A Case Study in the City of Campo Grande, MS, Brazil;Entropy;2022-09-07

2. Modelling heavy-tailedness in count time series;Applied Mathematical Modelling;2020-06

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