A flexible copula‐based approach for the analysis of secondary phenotypes in ascertained samples-Reference-Cited by-同舟云学术

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A flexible copula‐based approach for the analysis of secondary phenotypes in ascertained samples

Published:2019-12-23 Issue:5 Volume:39 Page:517-543
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Tounkara Fodé¹,Lefebvre Geneviève²^ORCID,Greenwood Celia³⁴⁵⁶^ORCID,Oualkacha Karim²^ORCID

Affiliation:

1. Lunenfeld‐Tenenbaum Research Institute Toronto Canada

2. Department of MathematicsUniversité du Québec à Montréal Montreal Canada

3. Lady Davis Research Institute, Centre for Clinical EpidemiologyJewish General Hospital Montreal Canada

4. Gerald Bronfman Department of OncologyMcGill University Montreal Canada

5. Department of Epidemiology, Biostatistics & Occupational HealthMcGill University Montreal Canada

6. Department of Human GeneticsMcGill University Montreal Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8416

Reference40 articles.

1. A Unified Method for Detecting Secondary Trait Associations with Rare Variants: Application to Sequence Data

2. Guidelines for Large-Scale Sequence-Based Complex Trait Association Studies: Lessons Learned from the NHLBI Exome Sequencing Project

3. Collider scope: when selection bias can substantially influence observed associations

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

5. Genome-wide association scans for secondary traits using case-control samples

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel rare variants association test for binary traits in family-based designs via copulas;Statistical Methods in Medical Research;2023-10-13

2. HostSeq: a Canadian whole genome sequencing and clinical data resource;BMC Genomic Data;2023-05-02

3. HostSeq : A Canadian Whole Genome Sequencing and Clinical Data Resource;2022-05-10

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