Survival extrapolation in the presence of cause specific hazards.

ABSTRACT: Health economic evaluations require estimates of expected survival from patients receiving different interventions, often over a lifetime. However, data on the patients of interest are typically only available for a much shorter follow-up time, from randomised trials or cohorts. Previous work showed how to use general population mortality to improve extrapolations of the short-term data, assuming a constant additive or multiplicative effect on the hazards for all-cause mortality for study patients relative to the general population. A more plausible assumption may be a constant effect on the hazard for the specific cause of death targeted by the treatments. To address this problem, we use independent parametric survival models for cause-specific mortality among the general population. Beca

SUBMITTER: Benaglia T 

PROVIDER: S-EPMC4847642 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature