Multivariate Cox proportional hazards models of the stemness bipartition to predict relapse-free survival when adjusting for two prognostic variables (A) residual disease and stage, (B) grade and stage or (C) grade and residual disease.
收藏NIAID Data Ecosystem2026-03-07 收录
下载链接:
https://figshare.com/articles/dataset/_Multivariate_Cox_proportional_hazards_models_of_the_stemness_bipartition_to_predict_relapse_free_survival_when_adjusting_for_two_prognostic_variables_A_residual_disease_and_stage_B_grade_and_stage_or_C_grade_and_residual_disease_/667484
下载链接
链接失效反馈官方服务:
资源简介:
*p<0.05,
**p<0.01,
***p<0.001.
1In regression analyses, the ordinal variables stage and grade were broken into multiple components using default functions in R. However, only the linear components (levels treated as a continuous variable) are displayed in the table because the other components were not significant. Grade was also coded as a quadratic component (grade 2 vs. grades 1 and 3) and stage as both quadratic (stages 2 and 3 vs. stages 1 and 4) and cubic (stage 2> stage 4> stage 1> stage 3) components.
创建时间:
2013-03-11



