Statistical Methods for Analyzing Data of Recurrent Infections After Hematopoietic Cell Transplantation
The overall goal of this project is to develop statistically proper and efficient methods for analyzing the gap times between recurrent infections after hematopoietic cell transplantation (HCT). The first goal is to develop non-parametric one-sample estimation method for the bivariate distribution of the time from the transplant to the first infection and the gap times between recurrent infections for the overall population or any subpopulation. The second is to develop a regression model, which can incorporate patient or treatment characteristics to study the risk factors of infectious complications of the transplant patients. All proposed methods will be evaluated using extensive simulation studies and a secondary data analysis of an existing dataset collected from patients who received their first HCT from the University of Minnesota between January 1, 2000 and December 31, 2010.
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