Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer.

ABSTRACT: Readmission following discharge from an initial hospitalization is a key marker of quality of health care in the United States. For the most part, readmission has been studied among patients with 'acute' health conditions, such as pneumonia and heart failure, with analyses based on a logistic-Normal generalized linear mixed model (Normand et al., 1997). Naïve application of this model to the study of readmission among patients with 'advanced' health conditions such as pancreatic cancer, however, is problematic because it ignores death as a competing risk. A more appropriate analysis is to imbed such a study within the semi-competing risks framework. To our knowledge, however, no comprehensive statistical methods have been developed for cluster-correlated semi-competing risks data. To resol

SUBMITTER: Lee KH 

PROVIDER: S-EPMC5347153 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature