Open AccessModeling and Simulation of Count Data
Author(s) -
Plan EL
Publication year - 2014
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1038/psp.2014.27
Subject(s) - count data , overdispersion , poisson distribution , event (particle physics) , statistics , poisson regression , context (archaeology) , computer science , piecewise , population , mathematics , medicine , paleontology , mathematical analysis , physics , environmental health , quantum mechanics , biology
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. CPT Pharmacometrics Syst. Pharmacol . (2014) 3, e129; doi: 10.1038/psp.2014.27 ; published online 13 August 2014