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Bayesian survival analysis using a MARS model |
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| Authors: | Mallick B K Denison D G Smith A F |
| Institution: | Department of Statistics, Texas A&M University, College Station 77843-3143, USA. bmallick@stat.tamu.edu |
| Abstract: | A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the survival curve. |
| Keywords: | Bayesian methods Hazard regression Multivariate adaptive regression splines Reversible jump Markov chain Monte Carlo Stochastic search |
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