DESCRIPTION (provided by applicant): The goals of this project are to continue our investigation into statistical methods to assess the effects of covariates on outcome in longitudinal studies. Such data arises in a variety of medical studies and includes survival data, competing risks data, data from multi-state models and data from repeated measures experiments. Our primary application is to bone marrow transplantation, but these techniques can be applied to a wide range of medical areas.
Specific projects include the development of a regression approach, based on Jackknife pseudo values, that can be used as summary model for multi-state models; Continued development and study of alternatives to the Cox model for survival and competing risks data; the development and study of techniques for measuring explained variation which can be used to examine and compare models for predicting a patient's outcome. A study of the various techniques for comparing treatment efficacies in observational studies; continued studies of models for competing risks data including techniques for covariate adjustment of the cumulative incidence curve and methods to compare cumulative incidence curves; techniques to include covariates into models for multi-state data and continued development of methods for modeling repeated measurements taken over time as functions of covariate processes.
Error Notice
The database may currently be offline for maintenance and should be operational soon. If not, we have been notified of this error and will be reviewing it shortly.
We apologize for the inconvenience.
- The DCCPS Team.