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A Joint Frailty Model for Competing Risks Survival Data
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 Title & Authors
A Joint Frailty Model for Competing Risks Survival Data
Ha, Il Do; Cho, Geon-Ho;
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Competing-risks events are often observed in a clustered clinical study such as a multi-center clinical trial. We propose a joint modelling approach via a shared frailty term for competing risks survival data from a cluster. For the inference we use the hierarchical likelihood (or h-likelihood), which avoids an intractable integration. We derive the corresponding h-likelihood procedure. The proposed method is illustrated via the analysis of a practical data set.
competing risks models;frailty models;h-likelihood;joint models;random effects;
 Cited by
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