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Adjusted estimates for time-to-event endpoints.

Storer, Barry E and Gooley, Ted A and Jones, Michael P (2008) Adjusted estimates for time-to-event endpoints. Lifetime data analysis, 14 (4). pp. 484-495. ISSN 1380-7870

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Article URL: http://www.springerlink.com/content/f8345h4123r404...

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.

Item Type: Article
Additional Information: This article is available to subscribers only at the Article URL above.
DOI: 10.1007/s10985-008-9098-9
PubMed ID: 18791867
NIHMSID: NIHMS82232
PMCID: PMC2660858
Grant Numbers: P01 CA018029-33, P01 CA078902-10
Keywords or MeSH Headings: * Clinical Trials, Phase II as Topic/statistics & numerical data* * Data Interpretation, Statistical * Hematopoietic Stem Cell Transplantation/mortality* * Humans * Incidence * Proportional Hazards Models * Recurrence * Retrospective Studies * Survival Analysis * Time Factors
Subjects: Research Methodologies > Clinical Trials
Research Methodologies > Mathematics and statistics
Depositing User: Library Staff
Date Deposited: 10 Dec 2008 18:36
Last Modified: 14 Feb 2012 14:43
URI: http://authors.fhcrc.org/id/eprint/193

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