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.
Description
Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation data. - PubMed - NCBI
%0 Journal Article
%1 Logan:2006:Biol-Blood-Marrow-Transplant:16399594
%A Logan, B R
%A Zhang, M J
%A Klein, J P
%D 2006
%J Biol Blood Marrow Transplant
%K CompetingRisks SurvivalAnalysis review statistics
%N 1 Suppl 1
%P 107-112
%R 10.1016/j.bbmt.2005.09.005
%T Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation data
%U https://www.ncbi.nlm.nih.gov/pubmed/16399594
%V 12
%X 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.
@article{Logan:2006:Biol-Blood-Marrow-Transplant: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.},
added-at = {2019-11-18T10:06:08.000+0100},
author = {Logan, B R and Zhang, M J and Klein, J P},
biburl = {https://www.bibsonomy.org/bibtex/23f4616e8bcd4fd999b88ff91f2b443ac/jkd},
description = {Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation data. - PubMed - NCBI},
doi = {10.1016/j.bbmt.2005.09.005},
interhash = {d16199ec449ea6b47d12feed1030c982},
intrahash = {3f4616e8bcd4fd999b88ff91f2b443ac},
journal = {Biol Blood Marrow Transplant},
keywords = {CompetingRisks SurvivalAnalysis review statistics},
month = jan,
number = {1 Suppl 1},
pages = {107-112},
pmid = {16399594},
timestamp = {2019-11-18T10:06:08.000+0100},
title = {Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation data},
url = {https://www.ncbi.nlm.nih.gov/pubmed/16399594},
volume = 12,
year = 2006
}