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Comparing treatments in the presence of crossing survival curves: an application to bone marrow transplantation. Biometrics 2008 Sep;64(3):733-40 PMID: 18190619 PMCID: PMC2754119

Pubmed ID

18190619

DOI

10.1111/j.1541-0420.2007.00975.x

Abstract

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 MJ

Authors

Brent R. Logan PhD Director, Professor in the Institute for Health and Equity department at Medical College of Wisconsin
Mei-Jie Zhang PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin




Scopus

2-s2.0-49749103124   33 Citations

MESH terms used to index this publication - Major topics in bold

Biometry
Bone Marrow Transplantation
Disease-Free Survival
Humans
Kaplan-Meier Estimate
Lymphoma, Follicular
Models, Statistical
Survival Analysis
Transplantation, Autologous
Transplantation, Homologous
jenkins-FCD Prod-310 bff9d975ec7f2d302586822146c2801dd4449aad