Literature DB >> 21600782

The analysis of intensive care unit length of stay in a competing risk setting.

Fabio Barili, Faisal H Cheema, Nicoletta Barzaghi, Claudio Grossi.   

Abstract

Mesh：

Year:  2012        PMID： 21600782      PMCID： PMC3241085          DOI： 10.1016/j.ejcts.2011.04.007

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN： 1010-7940            Impact factor:   4.191


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  5 in total

1.  Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function.

Authors:  John P Klein; Per Kragh Andersen
Journal:  Biometrics       Date:  2005-03       Impact factor: 2.571

2.  Tutorial in biostatistics: competing risks and multi-state models.

Authors:  H Putter; M Fiocco; R B Geskus
Journal:  Stat Med       Date:  2007-05-20       Impact factor: 2.373

Review 3.  Prediction of prolonged length of stay in the intensive care unit after cardiac surgery: the need for a multi-institutional risk scoring system.

Authors:  Nouredin Messaoudi; Jeroen De Cocker; Bernard Stockman; Leo L Bossaert; Inez E R Rodrigus
Journal:  J Card Surg       Date:  2009 Mar-Apr       Impact factor: 1.620

4.  Preoperative prediction of intensive care unit stay following cardiac surgery.

Authors:  Jeroen De Cocker; Nouredin Messaoudi; Bernard A Stockman; Leo L Bossaert; Inez E R Rodrigus
Journal:  Eur J Cardiothorac Surg       Date:  2011-01       Impact factor: 4.191

5.  Joint modeling of multivariate longitudinal data and the dropout process in a competing risk setting: application to ICU data.

Authors:  Emmanuelle Deslandes; Sylvie Chevret
Journal:  BMC Med Res Methodol       Date:  2010-07-29       Impact factor: 4.615
  5 in total
  3 in total

1.  Evaluation of Death among the Patients Undergoing Permanent Pacemaker Implantation: A Competing Risks Analysis.

Authors:  Haleh Ghaem; Mohammad Ghorbani; Samira Zare Dorniani
Journal:  Iran J Public Health       Date:  2017-06       Impact factor: 1.429

2.  Predicting Hospital Length of Stay at Admission Using Global and Country-Specific Competing Risk Analysis of Structural, Patient, and Nutrition-Related Data from nutritionDay 2007-2015.

Authors:  Noemi Kiss; Michael Hiesmayr; Isabella Sulz; Peter Bauer; Georg Heinze; Mohamed Mouhieddine; Christian Schuh; Silvia Tarantino; Judit Simon
Journal:  Nutrients       Date:  2021-11-16       Impact factor: 5.717

3.  Predictive factors associated with mortality and discharge in intensive care units: a retrospective cohort study.

Authors:  Mohammad Ghorbani; Haleh Ghaem; Abbas Rezaianzadeh; Zahra Shayan; Farid Zand; Reza Nikandish
Journal:  Electron Physician       Date:  2018-03-25
  3 in total

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