Penalized spline models for longitudinal data

Authored by: Babette A. Brumback , Lyndia C. Brumback , Mary J. Lindstrom

Longitudinal Data Analysis

Print publication date:  August  2008
Online publication date:  August  2008

Print ISBN: 9781584886587
eBook ISBN: 9781420011579
Adobe ISBN:

10.1201/9781420011579.ch12

 Download Chapter

 

Abstract

In longitudinal data analysis, where the goal is to estimate population or individual-specific averages over time, it is often the case that the repeated observations from a single individual can be viewed as arising from sampling a smooth underlying individual mean curve together with non-smooth deviations. The deviations can be thought of as a combined result of measurement error and biologic variability that would fluctuate upon resampling the same individual over the same period of time. When the assumption of smooth individual mean curves is reasonable, it makes sense to incorporate it into the estimation process in order to capitalize on the variance reduction that typically ensues when correct assumptions are used to reduce the effective degrees of freedom used by a statistical model.

 Cite
Search for more...
Back to top

Use of cookies on this website

We are using cookies to provide statistics that help us give you the best experience of our site. You can find out more in our Privacy Policy. By continuing to use the site you are agreeing to our use of cookies.