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Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

http://www.wikidata.org/entity/Q30993344

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A novel association test for multiple secondary phenotypes from a case-control GWAS.A generalized association test based on U statistics.Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies.

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P2860

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

http://www.wikidata.org/entity/Q30993344

description

2015 nî lūn-bûn

@nan

2015 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

@ast

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

@en

type

label

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

@ast

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

@en

prefLabel

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

@ast

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

@en

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01621459.2015.1008099

P1433

Journal of the American Statistical Association

P1476

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

@en

P2093

Dan-Yu Lin

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Donglin Zeng

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Kari E North

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Nora Franceschini

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Ran Tao

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P2860

Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study

Pooled association tests for rare variants in exon-resequencing studies

The Cardiovascular Health Study: design and rationale

The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators

Multi-Ethnic Study of Atherosclerosis: objectives and design

Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data.

Proper analysis of secondary phenotype data in case-control association studies.

A groupwise association test for rare mutations using a weighted sum statistic.

A general framework for studying genetic effects and gene-environment interactions with missing data.

Rare-variant association testing for sequencing data with the sequence kernel association test.

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560-572

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scholarly article

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10.1080/01621459.2015.1008099

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510

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Eric Boerwinkle

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2015-06-01T00:00:00Z

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26366025

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