Aynur Aktas, MD, Declan Walsh, MSc, FACP, FRCP(Edin), Bo Hu, PhD

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Presentation transcript:

Cancer Symptom Clusters: An Exploratory Analysis of Eight Statistical Techniques Aynur Aktas, MD, Declan Walsh, MSc, FACP, FRCP(Edin), Bo Hu, PhD Journal of Pain and Symptom Management Volume 48, Issue 6, Pages 1254-1266 (December 2014) DOI: 10.1016/j.jpainsymman.2014.02.006 Copyright © 2014 Terms and Conditions

Fig. 1 Analysis 1: Hierarchical symptom (n = 25) prevalence cluster analysis—Spearman correlation. Journal of Pain and Symptom Management 2014 48, 1254-1266DOI: (10.1016/j.jpainsymman.2014.02.006) Copyright © 2014 Terms and Conditions

Fig. 2 Analysis 3: Hierarchical symptom (n = 38) prevalence cluster analysis—Spearman correlation. Journal of Pain and Symptom Management 2014 48, 1254-1266DOI: (10.1016/j.jpainsymman.2014.02.006) Copyright © 2014 Terms and Conditions

Fig. 3 Analysis 5: Hierarchical symptom (n = 38) prevalence cluster analysis—Kappa statistic. Journal of Pain and Symptom Management 2014 48, 1254-1266DOI: (10.1016/j.jpainsymman.2014.02.006) Copyright © 2014 Terms and Conditions

Fig. 4 Analysis 7: Hierarchical cluster symptom (n = 38) severity analysis: Kendall tau-b. Journal of Pain and Symptom Management 2014 48, 1254-1266DOI: (10.1016/j.jpainsymman.2014.02.006) Copyright © 2014 Terms and Conditions