Variable selection in a flexible parametric mixture cure model with interval-censored data.

ABSTRACT: In standard survival analysis, it is generally assumed that every individual will experience someday the event of interest. However, this is not always the case, as some individuals may not be susceptible to this event. Also, in medical studies, it is frequent that patients come to scheduled interviews and that the time to the event is only known to occur between two visits. That is, the data are interval-censored with a cure fraction. Variable selection in such a setting is of outstanding interest. Covariates impacting the survival are not necessarily the same as those impacting the probability to experience the event. The objective of this paper is to develop a parametric but flexible statistical model to analyze data that are interval-censored and include a fraction of cured individuals

SUBMITTER: Scolas S 

PROVIDER: S-EPMC5057324 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature