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Influence diagnosti...
Influence diagnostics for count data under AB-BA crossover trials
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- Hao, Chengcheng, 1986- (författare)
- Stockholms universitet,Statistiska institutionen,Stockholm University, Sweden
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- von Rosen, Dietrich (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Linköpings universitet,Matematisk statistik,Tekniska fakulteten,Swedish University of Agriculture Science, Sweden,Institutionen för energi och teknik,Department of Energy and Technology,Linköping University
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- von Rosen, Tatjana (författare)
- Stockholms universitet,Statistiska institutionen,Stockholm University, Sweden
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(creator_code:org_t)
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- 2015-11-23
- 2017
- Engelska.
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Ingår i: Statistical Methods in Medical Research. - : SAGE Publications. - 0962-2802 .- 1477-0334. ; 26:6, s. 2938-2950
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://res.slu.se/i...
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Abstract
Ämnesord
Stäng
- This paper aims to develop diagnostic measures to assess the influence of data perturbations on estimates in AB-BA crossover studies with a Poisson distributed response. Generalised mixed linear models with normally distributed random effects are utilised. We show that in this special case, the model can be decomposed into two independent sub-models which allow to derive closed-form expressions to evaluate the changes in the maximum likelihood estimates under several perturbation schemes. The performance of the new influence measures is illustrated by simulation studies and the analysis of a real dataset.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Nyckelord
- Generalised mixed linear model
- Influential observation
- model diagnostics
- perturbation scheme
- Poisson model
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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