%0 Journal Article %1 Klein:2008:Comput-Methods-Programs-Biomed:18199521 %A Klein, J P %A Gerster, M %A Andersen, P K %A Tarima, S %A Perme, M P %D 2008 %J Comput Methods Programs Biomed %K R SurvivalAnalysis gee sas statistics %N 3 %P 289-300 %R 10.1016/j.cmpb.2007.11.017 %T SAS and R functions to compute pseudo-values for censored data regression. %U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533132/ %V 89 %X Recently, in a series of papers, a method based on pseudo-values has been proposed for direct regression modeling of the survival function, the restricted mean and cumulative incidence function with right censored data. The models, once the pseudo-values have been computed, can be fit using standard generalized estimating equation software. Here we present SAS macros and R functions to compute these pseudo-values. We illustrate the use of these routines and show how to obtain regression estimates for a study of bone marrow transplant patients.

@article{Klein:2008:Comput-Methods-Programs-Biomed:18199521, abstract = {Recently, in a series of papers, a method based on pseudo-values has been proposed for direct regression modeling of the survival function, the restricted mean and cumulative incidence function with right censored data. The models, once the pseudo-values have been computed, can be fit using standard generalized estimating equation software. Here we present SAS macros and R functions to compute these pseudo-values. We illustrate the use of these routines and show how to obtain regression estimates for a study of bone marrow transplant patients.}, added-at = {2018-09-21T19:14:23.000+0200}, author = {Klein, J P and Gerster, M and Andersen, P K and Tarima, S and Perme, M P}, biburl = {https://www.bibsonomy.org/bibtex/292d4b9ad47fd8b3940ceeda6d9aa70a2/jkd}, description = {SAS and R Functions to Compute Pseudo-values for Censored Data Regression}, doi = {10.1016/j.cmpb.2007.11.017}, interhash = {8fb0c20eee2793b8d2dbe048bd69e7f4}, intrahash = {92d4b9ad47fd8b3940ceeda6d9aa70a2}, journal = {Comput Methods Programs Biomed}, keywords = {R SurvivalAnalysis gee sas statistics}, month = mar, number = 3, pages = {289-300}, pmid = {18199521}, timestamp = {2018-09-21T19:14:23.000+0200}, title = {SAS and R functions to compute pseudo-values for censored data regression.}, url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533132/}, volume = 89, year = 2008 }