Hierarchical Models for Semicompeting Risks Data With Application to Quality of End-of-Life Care for Pancreatic Cancer

Journal of the American Statistical Association

Volumn 111, Issue 515, 2016, Pages 1075-1095

  Lee, Kyu Ha ^a   Dominici, Francesca ^b   Schrag, Deborah ^c   Haneuse, Sebastien ^b  

^a FORSYTH INSTITUTE   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Bayesian survival analysis; Cluster correlated data; Illness death models; Reversible jump Markov chain Monte Carlo; Semicompeting risks; Shared frailty

Indexed keywords

EID: 84991627590     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2016.1164052     Document Type: Article

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