12859_2019_2656_MOESM1_ESM.pdf (523.12 kB)
Additional file 1: of Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information
journal contribution
posted on 2019-02-27, 05:00 authored by Zaixiang Tang, Shufeng Lei, Xinyan Zhang, Zixuan Yi, Boyi Guo, Jake Chen, Yueping Shen, Nengjun YiFigure S1. The parameter estimation averaged over 100 replicates for the group spike-and-slab lasso Cox (gsslasso), the lasso, grlasso, grMCP, grSCAD, and cMCP methods for Scenario 2. Blue cycles denote the simulated non-zero values. Black points and lines represent the estimated values and the interval estimates of coefficients. (PDF 523 kb)