ANÁLISE DE DADOS DE SOBREVIVÊNCIA ESPACIALMENTE CORRELACIONADOS
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Abstract
A survival frailty model for spatially correlated lifetime data is discussed. By considering a completely parametric Bayesian approach, the intrinsically conditional autoregressive (ICAR) model is assumed for the frailty distribution, whereas the base distribution of lifetimes is modeled by the Weibull distribution. A Bayesian model selection criterion is discussed. A detailed description of how to use the R software along with OpenBUGS software to carry out inferences on the survival frailty model is provided. The analysis of a real data set involving patients diagnosed with bladder cancer in the state of Connecticut, USA, is presented.
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MÁQUINA, C. M., DEMARQUI, F. N., PRATES, M. O., & SANTOS, N. T. (2019). ANÁLISE DE DADOS DE SOBREVIVÊNCIA ESPACIALMENTE CORRELACIONADOS. Brazilian Journal of Biometrics, 37(4), 419–434. https://doi.org/10.28951/rbb.v37i4.386
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