Volume 64, Issue 3

Comparing Treatments in the Presence of Crossing Survival Curves: An Application to Bone Marrow Transplantation

Brent R. Logan

Corresponding Author

Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, Wisconsin 53226, U.S.A.

email:blogan@mcw.eduSearch for more papers by this author
John P. Klein

Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, Wisconsin 53226, U.S.A.

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Mei‐Jie Zhang

Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, Wisconsin 53226, U.S.A.

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First published: 18 August 2008
Citations: 34

Abstract

Summary 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.

Number of times cited according to CrossRef: 34

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