Author

Ying Sheng

University of California, San FranciscoORCID 0000-0002-0791-0491Unclaimed ORCID profile · follow to get notified of new preprints

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Ying Sheng1 paper · Hunan Normal University

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chiung‐Yu HuangiD· 2 shared Iryna V. LobachiD· 2 shared Lydia B. ZablotskaiD· 2 shared Siarhei Lobach· 2 shared for the Alzheimer’s Disease Neuroimaging Initiative· 1 shared

Activity by Year

2019-2020 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersGenetics

Chiung‐Yu HuangORCID

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2 papers

Recent·Most cited

Genetic effect estimates in case-control studies when a continuous variable is omitted from the model

Ying Sheng, Chiung‐Yu Huang, Siarhei Lobach, Lydia B. Zablotska, Iryna V. Lobach, for the Alzheimer’s Disease Neuroimaging Initiative

The paper assesses bias in genetic effect estimates when a continuous variable is omitted from logistic regression models in case-control studies and proposes methods to recover this bias.

Genetic Epidemiology · Jan 20, 2020Peer-reviewedGenetics

Case-Control Vs. Case-Only Estimates Of Gene-Environment Interactions With Common And Misclassified Clinical Diagosis

Iryna V. Lobach, Ying Sheng, Siarhei Lobach, Lydia B. Zablotska, Chiung‐Yu Huang

The paper compares case-control and case-only estimates for gene-environment interactions in the presence of misclassified clinical diagnoses, using simulations and an Alzheimer's disease study.

Genetic Epidemiology · Oct 30, 2019Peer-reviewedGenetics