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  • 标题:Misspecification of frailty random effects in a clustered survival data
  • 本地全文:下载
  • 作者:Kiche J. ; George Orwa ; Oscar Ngesa
  • 期刊名称:Journal of Statistical and Econometric Methods
  • 印刷版ISSN:2241-0384
  • 电子版ISSN:2241-0376
  • 出版年度:2019
  • 卷号:8
  • 期号:2
  • 页码:1-25
  • 语种:English
  • 出版社:Scienpress Ltd
  • 摘要:Survival analysis models the time it takes until an event occurs. The prototypical event is death, from which the name survival analysis is derived.Accordingly, each time survival analysis is studied, aspects of some selected rates or reliability of some study are usually considered. Frailty modelling has been used in this study as the statistical tool for analysing the time-event data. Parametric and non-parametric models and the frailty models are tted to help derive the required con-clusions.The impact of misspecication of frailty random effects in a survival data using parametric frailty modelling approach were determined during this research study.It is expected that these approaches would produce less bias estimates compared to the results achieved of the estimates when the misspecication of the frailty random effects are ignored.Mathematics Subject Classification :62H30Keywords: misspecication, frailty modeling, clustered data.
  • 关键词:Change point; Bayesian analysis; Time series
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