Analyzing multivariate survival data using composite likelihood and flexible parametric modeling of the hazard functions.

Jan Nielsen, Erik T Parner
Author Information
  1. Jan Nielsen: Southern Center for National Clinical Databases, Odense University Hospital, Sdr. Boulevard 29, Entrance 101, 3rd floor, DK-5000 Odense C, Denmark. jan.nielsen2@ouh.regionsyddanmark.dk

Abstract

In this paper, we model multivariate time-to-event data by composite likelihood of pairwise frailty likelihoods and marginal hazards using natural cubic splines. Both right- and interval-censored data are considered. The suggested approach is applied on two types of family studies using the gamma- and stable frailty distribution: The first study is on adoption data where the association between survival in families of adopted children and their adoptive and biological parents is studied. The second study is a cross-sectional study of the occurrence of back and neck pain in twins, illustrating the methodology in the context of genetic epidemiology.

MeSH Term

Adoption
Back Pain
Biostatistics
Databases, Factual
Diseases in Twins
Humans
Likelihood Functions
Longevity
Models, Statistical
Multivariate Analysis
Neck Pain
Proportional Hazards Models
Survival Analysis
Twin Studies as Topic

Word Cloud

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