Literature DB >> 16967104

A basis approach to goodness-of-fit testing in recurrent event models.

Ma Zenia N Agustin1, Edsel A Peña.   

Abstract

A class of tests for the hypothesis that the baseline hazard function in Cox's proportional hazards model and for a general recurrent event model belongs to a parametric family C identical with {lambda(0)(.; xi): xi in Xi} is proposed. Finite properties of the tests are examined via simulations, while asymptotic properties of the tests under a contiguous sequence of local alternatives are studied theoretically. An application of the tests to the general recurrent event model, which is an extended minimal repair model admitting covariates, is demonstrated. In addition, two real data sets are used to illustrate the applicability of the proposed tests.

Entities:  

Year:  2005        PMID: 16967104      PMCID: PMC1563443          DOI: 10.1016/j.jspi.2004.03.022

Source DB:  PubMed          Journal:  J Stat Plan Inference        ISSN: 0378-3758            Impact factor:   1.111


  2 in total

1.  Generalized proportional hazards model based on modified partial likelihood.

Authors:  V B Bagdonavicius; M S Nikulin
Journal:  Lifetime Data Anal       Date:  1999-12       Impact factor: 1.588

2.  Goodness-of-fit of the distribution of time-to-first-occurrence in recurrent event models.

Authors:  M Z Agustin; E A Peña
Journal:  Lifetime Data Anal       Date:  2001-09       Impact factor: 1.588

  2 in total
  2 in total

1.  Dynamic Modelling and Statistical Analysis of Event Times.

Authors:  Edsel A Peña
Journal:  Stat Sci       Date:  2006-11       Impact factor: 2.901

2.  Optimal goodness-of-fit tests for recurrent event data.

Authors:  Russell S Stocker; Akim Adekpedjou
Journal:  Lifetime Data Anal       Date:  2011-03-05       Impact factor: 1.588

  2 in total

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