Survival analysis with delayed entry in selected families with application to human longevity.
Stat Methods Med Res
; 27(3): 933-954, 2018 03.
Article
in En
| MEDLINE
| ID: mdl-27177884
ABSTRACT
In the field of aging research, family-based sampling study designs are commonly used to study the lifespans of long-lived family members. However, the specific sampling procedure should be carefully taken into account in order to avoid biases. This work is motivated by the Leiden Longevity Study, a family-based cohort of long-lived siblings. Families were invited to participate in the study if at least two siblings were 'long-lived', where 'long-lived' meant being older than 89 years for men or older than 91 years for women. As a result, more than 400 families were included in the study and followed for around 10 years. For estimation of marker-specific survival probabilities and correlations among life times of family members, delayed entry due to outcome-dependent sampling mechanisms has to be taken into account. We consider shared frailty models to model left-truncated correlated survival data. The treatment of left truncation in shared frailty models is still an open issue and the literature on this topic is scarce. We show that the current approaches provide, in general, biased estimates and we propose a new method to tackle this selection problem by applying a correction on the likelihood estimation by means of inverse probability weighting at the family level.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Survival Analysis
/
Longevity
Type of study:
Etiology_studies
/
Health_economic_evaluation
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Aged80
/
Female
/
Humans
/
Male
Country/Region as subject:
Europa
Language:
En
Journal:
Stat Methods Med Res
Year:
2018
Document type:
Article
Affiliation country:
Países Bajos