%0 Journal Article %A Hosseini, Fatemeh %A Karimi, Omid %A Hamedi, Fatemeh %T Survival Analysis using Bayesian Additive RegressionTrees %J Andishe-ye-amari %V 24 %N 1 %U http://andisheyeamari.irstat.ir/article-1-747-en.html %R %D 2019 %K ‎Tree Models‎, ‎Bayesian Additive Model‎, ‎Decision Tree‎., %X ‎Tree models represent a new and innovative way of analyzing large data sets by dividing predictor space into simpler areas‎. ‎Bayesian Additive Regression Trees model‎, ‎a model that we explain in this article‎, ‎uses a totality of trees in its structure‎, ‎since the combination of several trees from a tree only has a higher accuracy‎. ‎Then‎, ‎this model is a tree-based model and a nonparametric model that uses general aggregation methods‎, ‎and boosting algorithms in particular and in fact is extension of the classification and Regression Tree methods in which the decision tree exists in the structure of these methods‎. ‎In this method‎, ‎on the parameters of the model sum of tree and put regular prior then use the boosting algorithms for analysis‎. ‎In this paper‎, ‎first the Bayesian Additive Regression Trees model is introduced and then applied in survival analysis of lung cancer patients‎. %> http://andisheyeamari.irstat.ir/article-1-747-en.pdf %P 33-42 %& 33 %! %9 Research %L A-10-755-2 %+ Faculty of Mathematics, Statistics and Computer, Department of Statistics %G eng %@ 1026-8944 %[ 2019