Comparing treatments in the presence of crossing survival curves: an application to bone marrow transplantation. Biometrics 2008 Sep;64(3):733-740
Date
01/15/2008Pubmed ID
18190619Pubmed Central ID
PMC2754119DOI
10.1111/j.1541-0420.2007.00975.xScopus ID
2-s2.0-49749103124 (requires institutional sign-in at Scopus site) 58 CitationsAbstract
In some clinical studies comparing treatments in terms of their survival curves, researchers may anticipate that the survival curves will cross at some point, leading to interest in a long-term survival comparison. However, simple comparison of the survival curves at a fixed point may be inefficient, and use of a weighted log-rank test may be overly sensitive to early differences in survival. We formulate the problem as one of testing for differences in survival curves after a prespecified time point, and propose a variety of techniques for testing this hypothesis. We study these methods using simulation and illustrate them on a study comparing survival for autologous and allogeneic bone marrow transplants.
Author List
Logan BR, Klein JP, Zhang MJAuthor
Brent R. Logan PhD Director, Professor in the Data Science Institute department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
BiometryBone Marrow Transplantation
Disease-Free Survival
Humans
Kaplan-Meier Estimate
Lymphoma, Follicular
Models, Statistical
Survival Analysis
Transplantation, Autologous
Transplantation, Homologous
