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Modeling and simulation of count data
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
2014 (English)In: CPT: pharmacometrics & systems pharmacology, ISSN 2163-8306, Vol. 3, no 8, 1-12 p.Article in journal (Refereed) Published
Abstract [en]

Count data, or number of events per time interval, are discrete data arising from repeated time to event observations. Their mean count, or piecewise constant event rate, can be evaluated by discrete probability distributions from the Poisson model family. Clinical trial data characterization often involves population count analysis. This tutorial presents the basics and diagnostics of count modeling and simulation in the context of pharmacometrics. Consideration is given to overdispersion, underdispersion, autocorrelation, and inhomogeneity.

Place, publisher, year, edition, pages
2014. Vol. 3, no 8, 1-12 p.
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-244156DOI: 10.1038/psp.2014.27PubMedID: 25116273OAI: oai:DiVA.org:uu-244156DiVA: diva2:787925
Available from: 2015-02-12 Created: 2015-02-12 Last updated: 2015-02-13Bibliographically approved

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Plan, Elodie L

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  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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