Bayesian variable selection and survival modeling: assessing the most important comorbidities that impact lung and colorectal cancer survival in spain

HIGHLIGHTS

  • who: Francisco Javier Rubio from the colorectal cancer survival in Spain have published the research: Bayesian variable selection and survival modeling: assessing the Most important comorbidities that impact lung and colorectal cancer survival in Spain, in the Journal: (JOURNAL)
  • what: Based on the use of Bayesian methodology, the authors aim to provide the end-user with guidelines to address the research questions about: (i) how to select the most important variables (i.e., comorbidities) that affect the survival of cancer patients, accounting for the modeling uncertainty; and_(ii) how to quantify the effect of the . . .

     

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