Ontology highlight
ABSTRACT: Background
Information on the associations between pre-diagnosis health behavior and post-diagnosis survival time in esophageal cancer could assist in planning health services but can be difficult to obtain using established study designs. We postulated that, with a large data set, using estimated probability for a behavior as a predictor of survival times could provide useful insight as to the impact of actual behavior.Methods
Data from a national health survey and logistic regression were used to calculate the probability of selected health behaviors from participant's demographic characteristics for each esophageal cancer case within a large cancer registry data base. The associations between survival time and the probability of the health behaviors were investigated usi
SUBMITTER: Fahey PP
PROVIDER: S-EPMC7118984 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature