8 citations · 8 across the 5 of their papers we have counts for
5 papers
De-biased lasso for stratified Cox models with application to the national kidney transplant data
Lu Xia, Bin Nan, Yi Li
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 cruci…
De-biased Lasso for Generalized Linear Models with A Diverging Number of Covariates
Lu Xia, Bin Nan, Yi Li
Modeling and drawing inference on the joint associations between single nucleotide polymorphisms and a disease has sparked interest in genome-wide associations studies. In the moti…
Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of Covariates
Lu Xia, Bin Nan, Yi Li
For statistical inference on regression models with a diverging number of covariates, the existing literature typically makes sparsity assumptions on the inverse of the Fisher info…
A Revisit to De-biased Lasso for Generalized Linear Models
Lu Xia, Bin Nan, Yi Li
De-biased lasso has emerged as a popular tool to draw statistical inference for high-dimensional regression models. However, simulations indicate that for generalized linear models…
Accounting for total variation and robustness in profiling health care providers
Lu Xia, Kevin He, Yanming Li +1
Monitoring outcomes of health care providers, such as patient deaths, hospitalizations and hospital readmissions, helps in assessing the quality of health care. We consider a large…