Literature DB >> 11568951

Event history graphs for censored survival data.

J A Dubin1, H G Müller, J L Wang.   

Abstract

A compact graphical device for combining survival and time-varying covariate information is proposed. The proposed graph contains the Kaplan-Meier estimator for right-censored data and a simultaneous display of the behaviour of time-dependent covariate(s) and the lifetime for each subject in the sample. The observed levels of time-dependent covariates are possibly subjected to an initial dimension reduction or smoothing step to produce a continuous covariate function. Values of this function are plotted on a horizontal bar for the length of the lifetime of the subject. Covariate information for censored data is also incorporated. The union of the horizontal bars forms the Kaplan-Meier estimator of the survival function. Our graphical method is implemented with a new S-plus function and demonstrated in several applications. Copyright 2001 John Wiley & Sons, Ltd.

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Year:  2001        PMID: 11568951     DOI: 10.1002/sim.888

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Immortal time bias in critical care research: application of time-varying Cox regression for observational cohort studies.

Authors:  Ayumi K Shintani; Timothy D Girard; Svetlana K Eden; Patrick G Arbogast; Karel G M Moons; E Wesley Ely
Journal:  Crit Care Med       Date:  2009-11       Impact factor: 7.598

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Authors:  Martine Piccart-Gebhart; Eileen Holmes; José Baselga; Evandro de Azambuja; Amylou C Dueck; Giuseppe Viale; Jo Anne Zujewski; Aron Goldhirsch; Alison Armour; Kathleen I Pritchard; Ann E McCullough; Stella Dolci; Eleanor McFadden; Andrew P Holmes; Liu Tonghua; Holger Eidtmann; Phuong Dinh; Serena Di Cosimo; Nadia Harbeck; Sergei Tjulandin; Young-Hyuck Im; Chiun-Sheng Huang; Véronique Diéras; David W Hillman; Antonio C Wolff; Christian Jackisch; Istvan Lang; Michael Untch; Ian Smith; Frances Boyle; Binghe Xu; Henry Gomez; Thomas Suter; Richard D Gelber; Edith A Perez
Journal:  J Clin Oncol       Date:  2015-11-23       Impact factor: 44.544

3.  Displaying survival of patient groups defined by covariate paths: Extensions of the Kaplan-Meier estimator.

Authors:  Melissa Jay; Rebecca A Betensky
Journal:  Stat Med       Date:  2021-02-02       Impact factor: 2.373

  3 in total

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