Application of semiparametric mixed models and simultaneous confidence bands in a cardiovascular safety experiment with longitudinal data.
Several pharmacological studies involve experiments aimed at testing for a difference between experimental groups wherein the data are longitudinal in nature, frequently with long sequences per subject. Oftentimes, treatment effect, if present, is not constant over time. In such situations, imposing a parametric mean structure can be too complicated and/or restrictive. A more flexible approach is to model the mean using a semiparametric smooth function, estimated using, for example, penalized smoothing splines. We formulate a series of models exhibiting how the group-specific mean profiles could possibly differ. Once an appropriate model is chosen, interest lies in identifying specific time points where the groups differ. For this purpose, we propose the use of simultaneous confidence bands around the fitted models wherein the bands take into account within and between-subject variability, as well as variability arising from smoothing.
Maringwa
John T
JT
Center for Statistics, Universiteit Hasselt, Diepenbeek, Belgium. john.maringwa@uhasselt.be
Geys
Helena
H
Shkedy
Ziv
Z
Faes
Christel
C
Molenberghs
Geert
G
Aerts
Marc
M
Ammel
Karel Van
KV
Teisman
Ard
A
Bijnens
Luc
L
D000818:Animals; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D004353:Drug Evaluation, Preclinical / Q000706:statistics & numerical data*; D006339:Heart Rate / Q000187:drug effects*; D016014:Linear Models; D008133:Long QT Syndrome / Q000139:chemically induced* / Q000503:physiopathology; D008137:Longitudinal Studies; D023421:Models, Animal; D015233:Models, Statistical; D015203:Reproducibility of Results; D013997:Time Factors; D016896:Treatment Outcome