Debiased lasso for stratified Cox models with application to the national kidney transplant data.

ABSTRACT: The Scientific Registry of Transplant Recipients (SRTR) system has become a rich resource for understanding the complex mechanisms of graft failure after kidney transplant, a crucial step for allocating organs effectively and implementing appropriate care. As transplant centers that treated patients might strongly confound graft failures, Cox models stratified by centers can eliminate their confounding effects. Also, since recipient age is a proven non-modifiable risk factor, a common practice is to fit models separately by recipient age groups. The moderate sample sizes, relative to the number of covariates, in some age groups may lead to biased maximum stratified partial likelihood estimates and unreliable confidence intervals even when samples still outnumber covariates. To draw reliabl

SUBMITTER: Xia L 

PROVIDER: S-EPMC10720921 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature