Literature DB >> 12040697

Competing risks as a multi-state model.

Per Kragh Andersen1, Steen Z Abildstrom, Susanne Rosthøj.   

Abstract

This paper deals with the competing risks model as a special case of a multi-state model. The properties of the model are reviewed and contrasted to the so-called latent failure time approach. The relation between the competing risks model and right-censoring is discussed and regression analysis of the cumulative incidence function briefly reviewed. Two real data examples are presented and a guide to the practitioner is given.

Mesh：

Year:  2002        PMID： 12040697     DOI： 10.1191/0962280202sm281ra

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN： 0962-2802            Impact factor:   3.021


  57 in total

1.  End-stage renal disease risk equations for Hong Kong Chinese patients with type 2 diabetes: Hong Kong Diabetes Registry.

Authors:  X L Yang; W Y So; A P S Kong; P Clarke; C S Ho; C W K Lam; M H L Ng; R R Lyu; D D Yin; C C Chow; C S Cockram; P C Y Tong; J C N Chan
Journal:  Diabetologia       Date:  2006-08-30       Impact factor: 10.122

2.  Impact of de-escalation of beta-lactam antibiotics on the emergence of antibiotic resistance in ICU patients: a retrospective observational study.

Authors:  Liesbet De Bus; Wouter Denys; Julie Catteeuw; Bram Gadeyne; Karel Vermeulen; Jerina Boelens; Geert Claeys; Jan J De Waele; Johan Decruyenaere; Pieter O Depuydt
Journal:  Intensive Care Med       Date:  2016-03-30       Impact factor: 17.440

3.  Methods for generating paired competing risks data.

Authors:  Ruta Brazauskas; Jennifer Le-Rademacher
Journal:  Comput Methods Programs Biomed       Date:  2016-07-25       Impact factor: 5.428

4.  A Multi-state Model for Designing Clinical Trials for Testing Overall Survival Allowing for Crossover after Progression.

Authors:  Fang Xia; Stephen L George; Xiaofei Wang
Journal:  Stat Biopharm Res       Date:  2016-03-22       Impact factor: 1.452

5.  Estimating subject-specific dependent competing risk profile with censored event time observations.

Authors:  Yi Li; Lu Tian; Lee-Jen Wei
Journal:  Biometrics       Date:  2010-07-09       Impact factor: 2.571

6.  Cancer occurrence in Danish diabetic patients: duration and insulin effects.

Authors:  B Carstensen; D R Witte; S Friis
Journal:  Diabetologia       Date:  2011-11-27       Impact factor: 10.122

7.  Egg consumption and the risk of cardiovascular disease and all-cause mortality: Guangzhou Biobank Cohort Study and meta-analyses.

Authors:  Lin Xu; Tai Hing Lam; Chao Qiang Jiang; Wei Sen Zhang; Feng Zhu; Ya Li Jin; Jean Woo; Kar Keung Cheng; G Neil Thomas
Journal:  Eur J Nutr       Date:  2018-04-21       Impact factor: 5.614

8.  Effect of tight glucose control with insulin on the thyroid axis of critically ill children and its relation with outcome.

Authors:  Marijke Gielen; Dieter Mesotten; Pieter J Wouters; Lars Desmet; Dirk Vlasselaers; Ilse Vanhorebeek; Lies Langouche; Greet Van den Berghe
Journal:  J Clin Endocrinol Metab       Date:  2012-08-07       Impact factor: 5.958

9.  Multi-state models for the analysis of time-to-event data.

Authors:  Luís Meira-Machado; Jacobo de Uña-Alvarez; Carmen Cadarso-Suárez; Per K Andersen
Journal:  Stat Methods Med Res       Date:  2008-06-18       Impact factor: 3.021

10.  Competing risk regression models for epidemiologic data.

Authors:  Bryan Lau; Stephen R Cole; Stephen J Gange
Journal:  Am J Epidemiol       Date:  2009-06-03       Impact factor: 4.897
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