%0 Journal Article %1 Ahmed:2007:Mol-Cancer:17295918 %A Ahmed, F E %A Vos, P W %A Holbert, D %D 2007 %J Mol Cancer %K SurvivalAnalysis oncology review statistics %P 15-15 %R 10.1186/1476-4598-6-15 %T Modeling survival in colon cancer: a methodological review %U https://www.ncbi.nlm.nih.gov/pubmed/17295918 %V 6 %X The Cox proportional hazards model is the most widely used model for survival analysis because of its simplicity. The fundamental assumption in this model is the proportionality of the hazard function. When this condition is not met, other modifications or other models must be used for analysis of survival data. We illustrate in this review several methodological approaches to deal with the violation of the proportionality assumption, using survival in colon cancer as an illustrative example.

@article{Ahmed:2007:Mol-Cancer:17295918, abstract = {The Cox proportional hazards model is the most widely used model for survival analysis because of its simplicity. The fundamental assumption in this model is the proportionality of the hazard function. When this condition is not met, other modifications or other models must be used for analysis of survival data. We illustrate in this review several methodological approaches to deal with the violation of the proportionality assumption, using survival in colon cancer as an illustrative example.}, added-at = {2019-11-18T07:41:33.000+0100}, author = {Ahmed, F E and Vos, P W and Holbert, D}, biburl = {https://www.bibsonomy.org/bibtex/2debd26988db46f3364f1bb00c1bbe0c6/jkd}, description = {Modeling survival in colon cancer: a methodological review. - PubMed - NCBI}, doi = {10.1186/1476-4598-6-15}, interhash = {2a403a3a4ee449e4ca3af052bdd88293}, intrahash = {debd26988db46f3364f1bb00c1bbe0c6}, journal = {Mol Cancer}, keywords = {SurvivalAnalysis oncology review statistics}, month = feb, pages = {15-15}, pmid = {17295918}, timestamp = {2019-11-18T07:41:33.000+0100}, title = {Modeling survival in colon cancer: a methodological review}, url = {https://www.ncbi.nlm.nih.gov/pubmed/17295918}, volume = 6, year = 2007 }