Accurate error control in high‐dimensional association testing using conditional false discovery rates-Reference-Cited by-同舟云学术

Accurate error control in high‐dimensional association testing using conditional false discovery rates

Published:2021-03-07 Issue:5 Volume:63 Page:1096-1130
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Liley James¹²^ORCID,Wallace Chris¹²³^ORCID

Affiliation:

1. MRC Biostatistics Unit University of Cambridge Cambridge UK

2. Department of Medicine Addenbrookes Hospital University of Cambridge Cambridge UK

3. Cambridge Institute of Therapeutic Immunology and Infectious Disease Jeffrey Cheah Biomedical Centre Cambridge Biomedical Campus Cambridge UK

Funder

Wellcome

Medical Research Council

Johnson and Johnson

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.201900254

Reference50 articles.

1. Alishahi K. Ehyaei A. R. &Shojaie A.(2016).A generalized Benjamini–Hochberg procedure for multivariate hypothesis testing. arXiv. arXiv:1606.02386.

2. Improved Detection of Common Variants Associated with Schizophrenia by Leveraging Pleiotropy with Cardiovascular-Disease Risk Factors

3. Boosting the Power of Schizophrenia Genetics by Leveraging New Statistical Tools

4. Improved Detection of Common Variants Associated with Schizophrenia and Bipolar Disorder Using Pleiotropy-Informed Conditional False Discovery Rate

5. Genetic pleiotropy between multiple sclerosis and schizophrenia but not bipolar disorder: differential involvement of immune-related gene loci

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