| pubmed-article:16500923 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:16500923 | lifeskim:mentions | umls-concept:C0004083 | lld:lifeskim |
| pubmed-article:16500923 | lifeskim:mentions | umls-concept:C0681916 | lld:lifeskim |
| pubmed-article:16500923 | lifeskim:mentions | umls-concept:C0750572 | lld:lifeskim |
| pubmed-article:16500923 | lifeskim:mentions | umls-concept:C0027775 | lld:lifeskim |
| pubmed-article:16500923 | lifeskim:mentions | umls-concept:C0680844 | lld:lifeskim |
| pubmed-article:16500923 | pubmed:issue | 3 | lld:pubmed |
| pubmed-article:16500923 | pubmed:dateCreated | 2006-6-21 | lld:pubmed |
| pubmed-article:16500923 | pubmed:abstractText | Estimating the effects of haplotypes on the age of onset of a disease is an important step toward the discovery of genes that influence complex human diseases. A haplotype is a specific sequence of nucleotides on the same chromosome of an individual and can only be measured indirectly through the genotype. We consider cohort studies which collect genotype data on a subset of cohort members through case-cohort or nested case-control sampling. We formulate the effects of haplotypes and possibly time-varying environmental variables on the age of onset through a broad class of semiparametric regression models. We construct appropriate nonparametric likelihoods, which involve both finite- and infinite-dimensional parameters. The corresponding nonparametric maximum likelihood estimators are shown to be consistent, asymptotically normal, and asymptotically efficient. Consistent variance-covariance estimators are provided, and efficient and reliable numerical algorithms are developed. Simulation studies demonstrate that the asymptotic approximations are accurate in practical settings and that case-cohort and nested case-control designs are highly cost-effective. An application to a major cardiovascular study is provided. | lld:pubmed |
| pubmed-article:16500923 | pubmed:language | eng | lld:pubmed |
| pubmed-article:16500923 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16500923 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:16500923 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:16500923 | pubmed:month | Jul | lld:pubmed |
| pubmed-article:16500923 | pubmed:issn | 1465-4644 | lld:pubmed |
| pubmed-article:16500923 | pubmed:author | pubmed-author:LiuD PDP | lld:pubmed |
| pubmed-article:16500923 | pubmed:author | pubmed-author:ZenkHH | lld:pubmed |
| pubmed-article:16500923 | pubmed:author | pubmed-author:BrayM SMS | lld:pubmed |
| pubmed-article:16500923 | pubmed:author | pubmed-author:NorthK EKE | lld:pubmed |
| pubmed-article:16500923 | pubmed:author | pubmed-author:AveryC LCL | lld:pubmed |
| pubmed-article:16500923 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:16500923 | pubmed:volume | 7 | lld:pubmed |
| pubmed-article:16500923 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:16500923 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:16500923 | pubmed:pagination | 486-502 | lld:pubmed |
| pubmed-article:16500923 | pubmed:dateRevised | 2006-11-15 | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:meshHeading | pubmed-meshheading:16500923... | lld:pubmed |
| pubmed-article:16500923 | pubmed:year | 2006 | lld:pubmed |
| pubmed-article:16500923 | pubmed:articleTitle | Efficient semiparametric estimation of haplotype-disease associations in case-cohort and nested case-control studies. | lld:pubmed |
| pubmed-article:16500923 | pubmed:affiliation | Department of Biostatistics, CB# 7420, University of North Carolina, Chapel Hill, NC 27599-7420, USA. | lld:pubmed |
| pubmed-article:16500923 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:16500923 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:16500923 | lld:pubmed |
