Multilevel analyses of on-demand medication data, with an application to the treatment of Female Sexual Interest/Arousal Disorder.

ABSTRACT: Data from clinical trials investigating on-demand medication often consist of an intentionally varying number of measurements per patient. These measurements are often observations of discrete events of when the medication was taken, including for example data on symptom severity. In addition to the varying number of observations between patients, the data have another important feature: they are characterized by a hierarchical structure in which the events are nested within patients. Traditionally, the observed events of patients are aggregated into means and subsequently analyzed using, for example, a repeated measures ANOVA. This procedure has drawbacks. One drawback is that these patient means have different standard errors, first, because the variance of the underlying events differs

SUBMITTER: Kessels R 

PROVIDER: S-EPMC6695215 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature