An Alternative to Pooling Kaplan-Meier Curves in Time-to-Event Meta-Analysis
A meta-analysis that uses individual-level data instead of study-level data is widely considered to be a gold standard approach, in part because it allows a time-to-event analysis. Unfortunately, with the common practice of presenting Kaplan-Meier survival curves after pooling subjects across randomized trials, using individual-level data can actually be a step backwards; a Simpson's paradox can occur in which pooling incorrectly reverses the direction of an association. We introduce a nonparametric procedure for synthesizing survival curves across studies that is designed to avoid this difficulty and preserve the integrity of randomization. The technique is based on a counterfactual formulation in which we ask what pooled survival curves would look like if all subjects in all studies had been assigned treatment, or if all subjects had been assigned to control arms. The method is related to a Kaplan-Meier adjustment proposed in 2005 by Xie and Liu to correct for confounding in nonrandomized studies, but is formulated for the meta-analysis setting. The procedure is discussed in the context of examining rosiglitazone and cardiovascular adverse events.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
An Alternative to Pooling Kaplan-Meier Curves in Time-to-Event Meta-Analysis ; volume:7 ; number:1 ; year:2011
The international journal of biostatistics ; 7, Heft 1 (2011)
- Creator
-
Rubin, Daniel B.
- DOI
-
10.2202/1557-4679.1289
- URN
-
urn:nbn:de:101:1-2502190430069.557351299117
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rubin, Daniel B.
Other Objects (12)
Interim design modification in time-to-event studies
Multivariate time-to-event outcomes: from non-Markov models to causality
Metrics for Time-to-Event Prediction of Gaze Events
A parametric additive hazard model for time-to-event analysis
ADuLT: An efficient and robust time-to-event GWAS
Statistical modeling strategies for linking multiple molecular sources to time-to-event endpoints : = Statistische Modellbildungsstrategien zur Verknüpfung multipler molekularer Quellen unter Berücksichtigung von Time-to-Event Endpunkten
Fairing of planar curves to log-aesthetic curves
Pooling overdispersed binomial data to estimate event rate
Digital financial services adoption: a retrospective time-to-event analysis approach
OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions
Response to: Practical methods for incorporating summary time-to-event data into meta-analysis
Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility
Interim design modification in time-to-event studies
Multivariate time-to-event outcomes: from non-Markov models to causality
Metrics for Time-to-Event Prediction of Gaze Events
A parametric additive hazard model for time-to-event analysis
ADuLT: An efficient and robust time-to-event GWAS
Statistical modeling strategies for linking multiple molecular sources to time-to-event endpoints : = Statistische Modellbildungsstrategien zur Verknüpfung multipler molekularer Quellen unter Berücksichtigung von Time-to-Event Endpunkten
Fairing of planar curves to log-aesthetic curves
Pooling overdispersed binomial data to estimate event rate
Digital financial services adoption: a retrospective time-to-event analysis approach
OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions
Response to: Practical methods for incorporating summary time-to-event data into meta-analysis
Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility
Interim design modification in time-to-event studies
Multivariate time-to-event outcomes: from non-Markov models to causality
Metrics for Time-to-Event Prediction of Gaze Events
A parametric additive hazard model for time-to-event analysis
ADuLT: An efficient and robust time-to-event GWAS
Statistical modeling strategies for linking multiple molecular sources to time-to-event endpoints : = Statistische Modellbildungsstrategien zur Verknüpfung multipler molekularer Quellen unter Berücksichtigung von Time-to-Event Endpunkten
Fairing of planar curves to log-aesthetic curves
Pooling overdispersed binomial data to estimate event rate
Digital financial services adoption: a retrospective time-to-event analysis approach
OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions
Response to: Practical methods for incorporating summary time-to-event data into meta-analysis