Literature DB >> 16217839

Dispersion frailty models and HGLMs.

Maengseok Noh1, Il Do Ha, Youngjo Lee.   

Abstract

In medical research recurrent event times can be analysed using a frailty model in which the frailties for different individuals are independent and identically distributed. However, such a homogeneous assumption about frailties could sometimes be suspect. For modelling heterogeneity in frailties we describe dispersion frailty models arising from a new class of models, namely hierarchical generalized linear models. Using the kidney infection data we illustrate how to detect and model heterogeneity among frailties. Stratification of frailty models is also investigated.

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Year:  2006        PMID: 16217839     DOI: 10.1002/sim.2284

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

1.  Hierarchical likelihood inference on clustered competing risks data.

Authors:  Nicholas J Christian; Il Do Ha; Jong-Hyeon Jeong
Journal:  Stat Med       Date:  2015-08-16       Impact factor: 2.373

2.  Frailty modelling for survival data from multi-centre clinical trials.

Authors:  Il Do Ha; Richard Sylvester; Catherine Legrand; Gilbert Mackenzie
Journal:  Stat Med       Date:  2011-05-12       Impact factor: 2.373

3.  MODELLING COUNTY LEVEL BREAST CANCER SURVIVAL DATA USING A COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL.

Authors:  Haiming Zhou; Timothy Hanson; Alejandro Jara; Jiajia Zhang
Journal:  Ann Appl Stat       Date:  2015-03       Impact factor: 2.083

4.  Recurrent Events Model Application in Determining the Risk Factors of Bipolar Disorder Recurrence.

Authors:  Mansour Rezaei; Seyed Reza Hashemi; Vahid Farnia; Sharmin Rahmani
Journal:  Iran J Psychiatry       Date:  2021-01

5.  Acupuncture for smoking cessation?: commentary.

Authors:  Hyang-Sook Lee; Jung-Chul Seo; Il Do Ha
Journal:  Yonsei Med J       Date:  2006-02-28       Impact factor: 2.759

  5 in total

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