Literature DB >> 16531791

Risk prediction and finding new independent prognostic factors.

Ralph B D'Agostino.   

Abstract

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Year:  2006        PMID： 16531791     DOI： 10.1097/01.hjh.0000217845.57466.cc

Source DB:  PubMed          Journal:  J Hypertens        ISSN： 0263-6352            Impact factor:   4.844


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  5 in total

1.  Evaluating subject-level incremental values of new markers for risk classification rule.

Authors:  T Cai; L Tian; D Lloyd-Jones; L J Wei
Journal:  Lifetime Data Anal       Date:  2013-06-27       Impact factor: 1.588

2.  Graphical procedures for evaluating overall and subject-specific incremental values from new predictors with censored event time data.

Authors:  Hajime Uno; Tianxi Cai; Lu Tian; L J Wei
Journal:  Biometrics       Date:  2011-04-19       Impact factor: 2.571

3.  Identifying subjects who benefit from additional information for better prediction of the outcome variables.

Authors:  L Tian; T Cai; L J Wei
Journal:  Biometrics       Date:  2008-09-29       Impact factor: 2.571

4.  Subgroup specific incremental value of new markers for risk prediction.

Authors:  Qian M Zhou; Yingye Zheng; Tianxi Cai
Journal:  Lifetime Data Anal       Date:  2012-12-23       Impact factor: 1.588

5.  The early economic evaluation of novel biomarkers to accelerate their translation into clinical applications.

Authors:  Gimon de Graaf; Douwe Postmus; Jan Westerink; Erik Buskens
Journal:  Cost Eff Resour Alloc       Date:  2018-06-18
  5 in total

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