title: Adjusted estimates for time-to-event endpoints.
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.
authors.affiliation: Fred Hutchinson Cancer Research Center, Seattle, USA. bstorer@fhcrc.org
authors.forename: Barry E
authors.initials: BE
authors.lastname: Storer
authors.forename: Ted A
authors.initials: TA
authors.lastname: Gooley
authors.forename: Michael P
authors.initials: MP
authors.lastname: Jones
mesh_terms: D017322:Clinical Trials, Phase II as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D018380:Hematopoietic Stem Cell Transplantation / Q000401:mortality*; D006801:Humans; D015994:Incidence; D016016:Proportional Hazards Models; D012008:Recurrence; D012189:Retrospective Studies; D016019:Survival Analysis; D013997:Time Factors
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