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
Date
01/10/2006Pubmed ID
16399594DOI
10.1016/j.bbmt.2005.09.005Scopus ID
2-s2.0-29844457717 (requires institutional sign-in at Scopus site) 37 CitationsAbstract
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 JPAuthors
Brent R. Logan PhD Director, Professor in the Institute for Health and Equity department at Medical College of WisconsinMei-Jie Zhang PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
Graft RejectionGraft Survival
Hematopoietic Stem Cell Transplantation
Humans
Incidence
Models, Biological
Recurrence
Regression Analysis
Risk Factors
Time Factors