Journal article
Adjusted estimates for time-to-event endpoints
Lifetime data analysis, Vol.14(4), pp.484-495
12/2008
DOI: 10.1007/s10985-008-9098-9
PMCID: PMC2660858
PMID: 18791867
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.
Details
- Title: Subtitle
- Adjusted estimates for time-to-event endpoints
- Creators
- Barry E Storer - Fred Hutchinson Cancer Research Center, Seattle, USA. bstorer@fhcrc.orgTed A GooleyMichael P Jones
- Resource Type
- Journal article
- Publication Details
- Lifetime data analysis, Vol.14(4), pp.484-495
- DOI
- 10.1007/s10985-008-9098-9
- PMID
- 18791867
- PMCID
- PMC2660858
- NLM abbreviation
- Lifetime Data Anal
- ISSN
- 1380-7870
- eISSN
- 1572-9249
- Publisher
- United States
- Grant note
- P01 CA018029-33 / NCI NIH HHS P01 CA078902 / NCI NIH HHS CA078902 / NCI NIH HHS P01 CA078902-10 / NCI NIH HHS P01 CA018029 / NCI NIH HHS CA018029 / NCI NIH HHS
- Language
- English
- Date published
- 12/2008
- Academic Unit
- Statistics and Actuarial Science; Biostatistics; Public Policy Center (Archive)
- Record Identifier
- 9983985871002771
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