An index approach for the Cox model with left censored covariates

Statistics in Medicine
Gina D'AngeloGenIMS Investigators

Abstract

Medical studies frequently collect biological markers in which many subjects have values below the detectable limits of the assay, resulting in heavily censored data. We develop a modification of the Rigobon and Stoker index method for application to a Cox regression model with censored covariates. The index approach is compared with a complete case method and various fill-in methods. Our simulation results demonstrated that the index approach is an improvement over the other methods. We illustrated the usefulness of this approach with an example for the GenIMS study examining the relationship between two inflammatory markers and survival.

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Citations

Nov 10, 2013·Computational Statistics & Data Analysis·Paul W BernhardtDaowen Zhang
Feb 24, 2012·Statistics in Medicine·MinJae LeeLisa Weissfeld
Oct 8, 2016·Journal of Applied Statistics·Folefac D AtemRebecca A Betensky
Jun 20, 2012·American Heart Journal·Domingo A Pascual-FigalJames L Januzzi
Mar 3, 2015·Statistics in Medicine·Abdus SattarYehua Li
Jan 24, 2012·International Journal of Cardiology·Takahiro AnegawaTsutomu Imaizumi
Jan 20, 2015·Computational Statistics & Data Analysis·Paul W BernhardtHuixia Judy Wang
May 19, 2018·Biometrical Journal. Biometrische Zeitschrift·Soohyun AhnMitchell S Elkind
Aug 24, 2017·Statistical Methods in Medical Research·Folefac D AtemThomas J Greene
Sep 2, 2017·Journal of Biopharmaceutical Statistics·Yeonhee Kim, Lan Kong
Jul 15, 2015·Circulation·John W McEvoyElizabeth Selvin
Nov 1, 2018·The International Journal of Biostatistics·Paul W Bernhardt
Mar 26, 2019·Biometrical Journal. Biometrische Zeitschrift·Folefac D AtemVincent E Zimmern
Feb 28, 2017·Journal of the Royal Statistical Society. Series C, Applied Statistics·Folefac D AtemRebecca A Betensky

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