title: Bayesian survival analysis using a MARS model.
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.
authors: Department of Statistics, Texas A&M University, College Station 77843-3143, USA. bmallick@stat.tamu.edu
authors: B K
authors: BK
authors: Mallick
authors: D G
authors: DG
authors: Denison
authors: A F
authors: AF
authors: Smith
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D001699:Biometry; D005260:Female; D006801:Humans; D007674:Kidney Diseases / Q000401:mortality; D008297:Male; D008390:Markov Chains; D015233:Models, Statistical; D009010:Monte Carlo Method; D015999:Multivariate Analysis; D016016:Proportional Hazards Models; D012004:Rectal Neoplasms / Q000401:mortality; D013269:Stochastic Processes; D016019:Survival Analysis