Shuang Song's Homepage.
  • Bio
  • Publications
  • Awards
  • Talks
  • Software
  • Service
  • Recent Talks
    • ECR session
    • Contributed session
    • Invited session
  • Blog
    • 🎉 Our paper "Scalable and accurate rare-variant association tests for whole genome sequencing time-to-event analysis in large biobanks" is published on PNAS!
    • 🎉 Our paper "Participation bias in the estimation of heritability and genetic correlation" is published on PNAS!
  • Publications
    • Participation bias in the estimation of heritability and genetic correlation
    • Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations
    • Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation
    • A data-adaptive Bayesian regression approach for polygenic risk prediction
    • Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants
    • Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies
    • Multi-Cell-Type Openness-Weighted Association Studies for Trait-Associated Genomic Segments Prioritization
    • A set of efficient methods to generate high-dimensional binary data with specified correlation structures
    • Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs
    • The predictive value of the orientation and offset of angle α and angle κ for visual outcomes after trifocal intraocular lens implantation in an Asian cohort
    • The Effects of Disease‐Modifying Therapies on Optic Nerve Degeneration in Multiple Sclerosis
    • A robust penalized-regression-based method for multivariable Mendelian randomization using GWAS summary statistics
    • Cofea: correlation-based feature selection for single-cell chromatin accessibility data
    • Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding
    • A novel transcriptional risk score for risk prediction of complex human diseases
    • An unbiased kinship estimation method for genetic data analysis
    • Correcting statistical bias in correlation-based kinship estimators
    • Blood Glucose Levels Moderate the Associations Between IGF-1 Levels and Choroidal Metrics in Patients With Diabetes With Acromegaly Without Diabetic Retinopathy
    • Reduction of Human Mobility Matters during Early COVID-19 Outbreaks: Evidence from India, Japan and China
    • Scalable and accurate rare-variant association tests for whole genome sequencing time-to-event analysis in large biobanks
    • Scalable and accurate rare variant association tests for whole genome sequencing time-to-event analysis in large biobanks
    • Participation bias in the estimation of heritability and genetic correlation
  • Projects
  • Projects
    • Pandas
    • PyTorch
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

Correcting statistical bias in correlation-based kinship estimators

Dec 27, 2021·
W Jiang
,
X Zhang
,
S Li
,
S Song
,
H Zhao
· 0 min read
Cite Source Document
Type
Preprint
Publication
bioRxiv
Last updated on Dec 27, 2021
Publications
← An unbiased kinship estimation method for genetic data analysis Dec 27, 2022
Blood Glucose Levels Moderate the Associations Between IGF-1 Levels and Choroidal Metrics in Patients With Diabetes With Acromegaly Without Diabetic Retinopathy Dec 29, 2024 →

© 2026 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.