Article ID Journal Published Year Pages File Type
10514973 Journal of Clinical Epidemiology 2005 8 Pages PDF
Abstract
We conclude that this family of random-effects models is a useful tool for exploring heterogeneity in meta-analyses of time-to-event data, and that its features can be applied to a very wide range of studies.
Keywords
Related Topics
Health Sciences Medicine and Dentistry Public Health and Health Policy
Preview
Random effects survival models gave a better understanding of heterogeneity in individual patient data meta-analyses
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