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)