Augmented composite likelihood for copula modeling in family studies under biased sampling
| dc.contributor.author | Zhong, Yujie | |
| dc.contributor.author | Cook, Richard J. | |
| dc.date.accessioned | 2017-08-03T14:32:19Z | |
| dc.date.available | 2017-08-03T14:32:19Z | |
| dc.date.issued | 2016-01-27 | |
| dc.description | This is a pre-copyedited, author-produced PDF of an article accepted for publication in Bioinformatics following peer review. The version of record Zhong Y and Cook RJ (2016). Biostatistics, 17(3): 437–452. This article is available online at: DOI:10.1093/biostatistics/kxv054. | en |
| dc.description.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 τ. 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. | en |
| dc.description.sponsorship | Natural Sciences and Engineering Research Council of Canada (RGPIN 155849); Canadian Institutes for Health Research (FRN 13887); Canada Research Chair (Tier 1) – CIHR funded (950-226626) | en |
| dc.identifier.uri | https://doi.org/10.1093/biostatistics/kxv054 | |
| dc.identifier.uri | http://hdl.handle.net/10012/12117 | |
| dc.language.iso | en | en |
| dc.publisher | Oxford University Press | en |
| dc.relation.ispartofseries | Biostatistics;17(3) | |
| dc.subject | Auxiliary data | en |
| dc.subject | Biased sampling | en |
| dc.subject | Composite likelihood | en |
| dc.subject | Family study | en |
| dc.subject | Gaussian copula | en |
| dc.title | Augmented composite likelihood for copula modeling in family studies under biased sampling | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | Zhong, Yujie, and Richard J. Cook. "Augmented composite likelihood for copula modeling in family studies under biased sampling." Biostatistics 17.3 (2016): 437-452. | en |
| uws.contributor.affiliation1 | Faculty of Mathematics | en |
| uws.contributor.affiliation2 | Statistics and Actuarial Science | en |
| uws.peerReviewStatus | Reviewed | en |
| uws.scholarLevel | Faculty | en |
| uws.typeOfResource | Text | en |