Ontology highlight
ABSTRACT:
SUBMITTER: Konietschke F
PROVIDER: S-EPMC6587510 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Konietschke Frank F Friede Tim T Pauly Markus M
Biometrical journal. Biometrische Zeitschrift 20181205 3
Count data are common endpoints in clinical trials, for example magnetic resonance imaging lesion counts in multiple sclerosis. They often exhibit high levels of overdispersion, that is variances are larger than the means. Inference is regularly based on negative binomial regression along with maximum-likelihood estimators. Although this approach can account for heterogeneity it postulates a common overdispersion parameter across groups. Such parametric assumptions are usually difficult to verif ...[more]