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Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation data. Biol Blood Marrow Transplant 2006 Jan;12(1 Suppl 1):107-12 PMID: 16399594

Pubmed ID

16399594

Abstract

In this article, we consider methods of regression modeling in the competing risks setting commonly encountered in analyzing stem cell transplantation data. We clarify the distinction between modeling the cause-specific hazard rate and modeling the cumulative incidence probability or function, and we review regression techniques for both types of quantities. We apply them to 2 examples: 1 comparing engraftment and 1 examining relapse. These examples illustrate that different conclusions may result depending on the type of regression model used for comparing treatments. Finally, we show how these discrepancies occur because 2 different characteristics of the time-to-event distribution are being modeled.

Author List

Logan BR, Zhang MJ, Klein JP

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-s2.0-29844457717   22 Citations

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

Graft Rejection
Graft Survival
Hematopoietic Stem Cell Transplantation
Humans
Incidence
Models, Biological
Recurrence
Regression Analysis
Risk Factors
Time Factors
jenkins-FCD Prod-296 4db9d02597e0a2e889e230f853b641c12f1c3ee3