Incorporating short-term outcome information to predict long-term survival with discrete markers.

ABSTRACT: In disease screening and prognosis studies, an important task is to determine useful markers for identifying high-risk subgroups. Once such markers are established, they can be incorporated into public health practice to provide appropriate strategies for treatment or disease monitoring based on each individual's predicted risk. In the recent years, genetic and biological markers have been examined extensively for their potential to signal progression or risk of disease. In addition to these markers, it has often been argued that short-term outcomes may be helpful in making a better prediction of disease outcomes in clinical practice. In this paper we propose model-free non-parametric procedures to incorporate short-term event information to improve the prediction of a long-term terminal e

SUBMITTER: Parast L 

PROVIDER: S-EPMC3472667 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature