Analysis of cross-over designs with serial correlation within periods using semi-parametric mixed models

• Published in: Statistics in medicine Vol. 27; no. 28; pp. 6009 - 6033
• Main Authors: Maringwa, John T., Geys, Helena, Shkedy, Ziv, Faes, Christel, Molenberghs, Geert, Aerts, Marc, Van Ammel, Karel, Teisman, Ard, Bijnens, Luc
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 10.12.2008; Wiley Subscription Services, Inc
• Subjects: Animals; Area Under Curve; Biometry; Biostatistics; Correlation analysis; cross-over; Cross-Over Studies; Data Interpretation, Statistical; Dogs; Heart - drug effects; Likelihood Functions; Medical statistics; Models, Statistical; penalized splines; semi-parametric mixed models; serial correlation; Simulation; simultaneous confidence bands; Statistics, Nonparametric

The use of semi‐parametric mixed models has proven useful in a wide variety of settings. Here, we focus on the application of the methodology in the particular case of a cross‐over design with relatively long sequences of repeated measurements within each treatment period and for each subject. Other...