Literature DB >> 26323078

Competing risk is better than composite outcome to identify renal biomarker outcome.

Matthieu Jamme1, Jerome Lambert1.   

Abstract

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Year:  2015        PMID： 26323078     DOI： 10.1038/ki.2015.221

Source DB:  PubMed          Journal:  Kidney Int        ISSN： 0085-2538            Impact factor:   10.612


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  4 in total

1.  Concordance for prognostic models with competing risks.

Authors:  Marcel Wolbers; Paul Blanche; Michael T Koller; Jacqueline C M Witteman; Thomas A Gerds
Journal:  Biostatistics       Date:  2014-02-02       Impact factor: 5.899

Review 2.  Definition, reporting, and interpretation of composite outcomes in clinical trials: systematic review.

Authors:  Gloria Cordoba; Lisa Schwartz; Steven Woloshin; Harold Bae; Peter C Gøtzsche
Journal:  BMJ       Date:  2010-08-18

3.  Evaluating mortality in intensive care units: contribution of competing risks analyses.

Authors:  Matthieu Resche-Rigon; Elie Azoulay; Sylvie Chevret
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097

4.  Urinary L-FABP predicts poor outcomes in critically ill patients with early acute kidney injury.

Authors:  Sharidan K Parr; Amanda J Clark; Aihua Bian; Ayumi K Shintani; Nancy E Wickersham; Lorraine B Ware; T Alp Ikizler; Edward D Siew
Journal:  Kidney Int       Date:  2014-09-17       Impact factor: 10.612
  4 in total
  1 in total

1.  The Authors Reply.

Authors:  Sharidan K Parr; Aihua Bian; Ayumi K Shintani; Lorraine B Ware; T Alp Ikizler; Edward D Siew
Journal:  Kidney Int       Date:  2015-09       Impact factor: 10.612
  1 in total

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