Back to Search
Start Over
Augmented composite likelihood for copula modeling in family studies under biased sampling.
- Source :
-
Biostatistics . Jul2016, Vol. 17 Issue 3, p437-452. 16p. - Publication Year :
- 2016
-
Abstract
- The heritability of chronic diseases can be effectively studied by examining the nature and extent of within-family associations in disease onset times. Families are typically accrued through a biased sampling scheme in which affected individuals are identified and sampled along with their relatives who may provide right-censored or current status data on their disease onset times. We develop likelihood and composite likelihood methods for modeling the within-family association in these times through copula models in which dependencies are characterized by Kendall's [Formula: see text] Auxiliary data from independent individuals are exploited by augmentating composite likelihoods to increase precision of marginal parameter estimates and consequently increase efficiency in dependence parameter estimation. An application to a motivating family study in psoriatic arthritis illustrates the method and provides some evidence of excessive paternal transmission of risk. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14654644
- Volume :
- 17
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Biostatistics
- Publication Type :
- Academic Journal
- Accession number :
- 116234310
- Full Text :
- https://doi.org/10.1093/biostatistics/kxv054