Investigating trial and treatment heterogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach.

@article{Rondeau2008InvestigatingTA,
  title={Investigating trial and treatment heterogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach.},
  author={Virginie Rondeau and Stefan Michiels and Beno{\^i}t Liquet and Jean-Pierre Pignon},
  journal={Statistics in medicine},
  year={2008},
  volume={27 11},
  pages={1894-910}
}
In a meta-analysis combining survival data from different clinical trials, an important issue is the possible heterogeneity between trials. Such intertrial variation can not only be explained by heterogeneity of treatment effects across trials but also by heterogeneity of their baseline risk. In addition, one might examine the relationship between magnitude of the treatment effect and the underlying risk of the patients in the different trials. Such a scenario can be accounted for by using… CONTINUE READING

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