SAS Macro for Estimation of Functional Hierarchical Linear Models (FHLM) Using Local Linear Regression Estimation Procedure
|SAS FHLM-LLR Macro:|
|Examples:||Related Data File Used in Users' Guide Examples|
|Users' Guide:||%FHLMLLR Users' Guide (v. 1.1.0)|
For use with SAS version 9.x for Windows.
Functional hierarchical linear models (FHLMs) extend mixed effects models, hierarchical linear models, and multilevel models by allowing both fixed effects and random effects (i.e. individual effects) in these models to vary over time. Li, Root and Shiffman (2006) proposed FHLMs for analysis of ecological momentary assessment (EMA) data collected in smoking cession study. This macro allows prevention scientists to graphically represent these complex relationships.
The SAS FHLM-LLR macro is provided as a supplement to the article:
Li, R., Root, T. & Shiffman, S. (2006). A local linear estimation procedure for functional multilevel modeling. In T. Walls & J. Schafer (Eds.), Models for intensive longitudinal data (pp. 63-83). New York, NY: Oxford University Press.
FHLM-LLR SAS Macro (Version 1.1.0) [Software]. (2010). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu
Li, R., & Tan, X. (2011). SAS macro %FHLMLLR users' guide (Version 1.1.0). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu