Adjusted estimates for time-to-event endpoints |
| |
Authors: | Barry E Storer Ted A Gooley Michael P Jones |
| |
Institution: | (1) Fred Hutchinson Cancer Research Center, Seattle, USA;(2) University of Iowa, Iowa City, USA |
| |
Abstract: | In the analysis of retrospective data or when interpreting results from a single-arm phase II clinical trial relative to historical
data, it is often of interest to show plots summarizing time-to-event outcomes comparing treatment groups. If the groups being
compared are imbalanced with respect to factors known to influence outcome, these plots can be misleading and seemingly incompatible
with results obtained from a regression model that accounts for these imbalances. We consider ways in which covariate information
can be used to obtain adjusted curves for time-to-event outcomes. We first review a common model-based method and then suggest
another model-based approach that is not as reliant on model assumptions. Finally, an approach that is partially model free
is suggested. Each method is applied to an example from hematopoietic cell transplantation. |
| |
Keywords: | Cox regression Kaplan-Meier Adjusted survival Cumulative incidence |
本文献已被 PubMed SpringerLink 等数据库收录! |