title: Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation data.
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.
authors.affiliation: Division of Biostatistics and Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, USA.
authors.forename: Brent R
authors.initials: BR
authors.lastname: Logan
authors.forename: Mei-Jie
authors.initials: MJ
authors.lastname: Zhang
authors.forename: John P
authors.initials: JP
authors.lastname: Klein
mesh_terms: D006084:Graft Rejection; D006085:Graft Survival; D018380:Hematopoietic Stem Cell Transplantation; D006801:Humans; D015994:Incidence; D008954:Models, Biological; D012008:Recurrence; D012044:Regression Analysis; D012307:Risk Factors; D013997:Time Factors