Pseudo-value approach for comparing survival medians for dependent data. Stat Med 2014 Apr 30;33(9):1531-8
Date
12/18/2013Pubmed ID
24338956Pubmed Central ID
PMC3976739DOI
10.1002/sim.6072Scopus ID
2-s2.0-84898057734 (requires institutional sign-in at Scopus site) 6 CitationsAbstract
Survival median is commonly used to compare treatment groups in cancer-related research. The current literature focuses on developing tests for independent survival data. However, researchers often encounter dependent survival data such as matched pair data or clustered data. We propose a pseudo-value approach to test the equality of survival medians for both independent and dependent survival data. We investigate the type I error and power of the proposed method by a simulation study, in which we examine independent and dependent data. The simulation study shows that the proposed method performs equivalently to the existing methods for independent survival data and performs better for dependent survival data. A study comparing survival median times for bone marrow transplants illustrates the proposed method.
Author List
Ahn KW, Mendolia FAuthor
Kwang Woo Ahn PhD Professor in the Institute for Health and Equity department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Bone Marrow TransplantationClinical Trials as Topic
Cluster Analysis
Humans
Neoplasms
Statistics as Topic
Survival Analysis