1. Symptom Clusters in Advanced Cancer Patients: An Empirical Comparison of Statistical Methods and the Impact on Quality of Life 
Skye T. Dong, BPsych (Hons), DClinPsych, Daniel S.J. Costa, BSc, PhD, MPH, Phyllis N. Butow, MClinPsych, MPH, PhD, Melanie R. Lovell, MBBS, PhD, Meera Agar, MPC, PhD, Galina Velikova, BMBS, PhD, Paulos Teckle, BA, MSc, PhD, Allison Tong, MPH(Hons), PhD, Niall C. Tebbutt, BA, BM, BCh, PhD, Stephen J. Clarke, MBBS, PhD, Kim van der Hoek, MSc, Madeleine T. King, BSc(Hons), GradDipMedStat, PhD, Peter M. Fayers, PhD 
Journal of Pain and Symptom Management 
Volume 51, Issue 1, Pages (January 2016)
DOI: /j.jpainsymman
Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions

2. Fig. 1
A simplified representation of the model tested using path analysis. Although not represented here, all direct and indirect paths from clusters to functioning to overall health to overall quality of life were estimated.
Journal of Pain and Symptom Management  , 88-98DOI: ( /j.jpainsymman )
Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions

3. Fig. 2
Dendrogram illustrating the results of the hierarchical cluster analysis. The distance at which the branches join indicates similarity (shorter branch represents greater similarity).
Journal of Pain and Symptom Management  , 88-98DOI: ( /j.jpainsymman )
Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions