Karen Meneses, PhD, RN, FAAN named UAB Distinguished Faculty Lecturer
PhD Student Kenya Kirkendoll honored by Chi Eta Phi Sorority
Jablonski-Jaudon receives 2016 PREP Pilot Award
Six from UAB School of Nursing named Academy Fellows
Dr. Ann Gakumo attends 2016 Butler-Williams Scholars Program

Tree-structured analysis of treatment effects with large observational data

Su, X., Meneses, K., McNees, P., Johnson, W.
School of Nursing, University of Alabama at Birmingham, AL, USA xgsu@uab.edu

Abstract

The breast cancer education intervention (BCEI) is a tailored psychoeducational intervention programme aiming to improve the quality of life of breast cancer survivors. Borrowing the idea of recursive partitioning and following the convention of classification and regression trees, an exploratory procedure, termed interaction trees, is proposed to understand better the differential effects of the BCEI on longitudinal quality-of-life data. The resultant tree model identifies several objectively defined subgroups: in some groups the BCEI is quite effective whereas in others it may not be. Based on the final tree structure, a permutation test is used to assess the overall treatment-by-covariate interaction. In addition, a variable importance ranking feature is facilitated via random forests of interaction trees to help to determine important effect modifiers of the BCEI.


 Link to Wiley-Blackwell Online