Literature DB >> 9384628

A method for checking regression models in survival analysis based on the risk score.

J K Grønnesby1, O Borgan.   

Abstract

We propose to perform model check for the Cox and Aalen regression models using martingale residual processes grouped after the risk score. Asymptotic distributions of the grouped martingale residual processes are deduced, so both formal and graphical model check can be performed. The method is validated by stochastic simulation. A data example with patients with primary biliary cirrhosis of the liver is discussed.

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Year:  1996        PMID: 9384628     DOI: 10.1007/bf00127305

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  2 in total

1.  A linear regression model for the analysis of life times.

Authors:  O O Aalen
Journal:  Stat Med       Date:  1989-08       Impact factor: 2.373

2.  Further results on the non-parametric linear regression model in survival analysis.

Authors:  O O Aalen
Journal:  Stat Med       Date:  1993-09-15       Impact factor: 2.373

  2 in total
  77 in total

1.  Tests for the proportional intensity assumption based on the score process.

Authors:  Jan Terje Kvaløy; Linda Reiersølmoen Neef
Journal:  Lifetime Data Anal       Date:  2004-06       Impact factor: 1.588

2.  A cautionary note on the use of the Grønnesby and Borgan goodness-of-fit test for the Cox proportional hazards model.

Authors:  Susanne May; David W Hosmer
Journal:  Lifetime Data Anal       Date:  2004-09       Impact factor: 1.588

3.  Risk prediction measures for case-cohort and nested case-control designs: an application to cardiovascular disease.

Authors:  Andrea Ganna; Marie Reilly; Ulf de Faire; Nancy Pedersen; Patrik Magnusson; Erik Ingelsson
Journal:  Am J Epidemiol       Date:  2012-03-06       Impact factor: 4.897

4.  Assessment of conventional cardiovascular risk factors and multiple biomarkers for the prediction of incident heart failure and atrial fibrillation.

Authors:  J Gustav Smith; Christopher Newton-Cheh; Peter Almgren; Joachim Struck; Nils G Morgenthaler; Andreas Bergmann; Pyotr G Platonov; Bo Hedblad; Gunnar Engström; Thomas J Wang; Olle Melander
Journal:  J Am Coll Cardiol       Date:  2010-11-16       Impact factor: 24.094

5.  Relations of Postload and Fasting Glucose With Incident Cardiovascular Disease and Mortality Late in Life: The Cardiovascular Health Study.

Authors:  Erika F Brutsaert; Sanyog Shitole; Mary Lou Biggs; Kenneth J Mukamal; Ian H deBoer; Evan L Thacker; Joshua I Barzilay; Luc Djoussé; Joachim H Ix; Nicholas L Smith; Robert C Kaplan; David S Siscovick; Bruce M Psaty; Jorge R Kizer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-08-27       Impact factor: 6.053

6.  Model checks for Cox-type regression models based on optimally weighted martingale residuals.

Authors:  Axel Gandy; Uwe Jensen
Journal:  Lifetime Data Anal       Date:  2009-06-09       Impact factor: 1.588

7.  High-dimensional, massive sample-size Cox proportional hazards regression for survival analysis.

Authors:  Sushil Mittal; David Madigan; Randall S Burd; Marc A Suchard
Journal:  Biostatistics       Date:  2013-10-04       Impact factor: 5.899

8.  A simplified method of calculating an overall goodness-of-fit test for the Cox proportional hazards model.

Authors:  S May; D W Hosmer
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

9.  Incident heart failure prediction in the elderly: the health ABC heart failure score.

Authors:  Javed Butler; Andreas Kalogeropoulos; Vasiliki Georgiopoulou; Rhonda Belue; Nicolas Rodondi; Melissa Garcia; Douglas C Bauer; Suzanne Satterfield; Andrew L Smith; Viola Vaccarino; Anne B Newman; Tamara B Harris; Peter W F Wilson; Stephen B Kritchevsky
Journal:  Circ Heart Fail       Date:  2008-07       Impact factor: 8.790

10.  Long-term mortality in patients with chronic obstructive pulmonary disease following extracorporeal membrane oxygenation for cardiac assist after cardiovascular surgery.

Authors:  Klaus Distelmaier; Alexander Niessner; Dominik Haider; Irene M Lang; Gottfried Heinz; Gerald Maurer; Herbert Koinig; Barbara Steinlechner; Georg Goliasch
Journal:  Intensive Care Med       Date:  2013-04-24       Impact factor: 17.440

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