Leveraging a surrogate outcome to improve inference on a partially missing target outcome-Reference-Cited by-同舟云学术

Leveraging a surrogate outcome to improve inference on a partially missing target outcome

Published:2022-03-22 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

McCaw Zachary R.¹^ORCID,Gaynor Sheila M.¹,Sun Ryan²^ORCID,Lin Xihong¹³

Affiliation:

1. Department of Biostatistics Harvard T.H. Chan School of Public Health Boston Massachusetts

2. Department of Biostatistics MD Anderson Cancer Center Houston Texas

3. Department of Statistics Harvard University Cambridge Massachusetts

Funder

National Institutes of Health

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13629

Reference22 articles.

1. UK Biobank Data: Come and Get It

2. The genotype‐tissue expression (GTEx) project;Consortium G.;Nature,2013

3. Genetic effects on gene expression across human tissues

4. A Statistical Framework for Joint eQTL Analysis in Multiple Tissues

5. A gene-based association method for mapping traits using reference transcriptome data

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1. Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanks;Nature Genetics;2024-06-13

2. Leveraging a machine learning derived surrogate phenotype to improve power for genome-wide association studies of partially missing phenotypes in population biobanks;2022-12-14

3. SurrogateRegression: Surrogate Outcome Regression Analysis;CRAN: Contributed Packages;2020-12-03