10.6084/m9.figshare.7782059.v1 Zaixiang Tang Zaixiang Tang Shufeng Lei Shufeng Lei Xinyan Zhang Xinyan Zhang Zixuan Yi Zixuan Yi Boyi Guo Boyi Guo Jake Chen Jake Chen Yueping Shen Yueping Shen Nengjun Yi Nengjun Yi Additional file 2: of Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information Springer Nature 2019 Cox survival models Grouped predictors Hierarchical modeling Lasso Pathway Spike-and-slab prior 2019-02-27 05:00:00 Journal contribution https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_Gsslasso_Cox_a_Bayesian_hierarchical_model_for_predicting_survival_and_detecting_associated_genes_by_incorporating_pathway_information/7782059 Figure S2. The parameter estimation averaged over 100 replicates for the group spike-and-slab lasso Cox (gsslasso), the lasso and grlasso methods for Scenario 3. Blue cycles denote the simulated non-zero values. Black points and lines represent the estimated values and the interval estimates of coefficients. The main title of each plot denotes the varying group size for scenario 3. (PDF 778 kb)