Detecting latent interaction effects when analyzing binary traits.
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| Title: | Detecting latent interaction effects when analyzing binary traits. |
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| Authors: | Zhang Z; Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.; Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada., Lawless JF; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada., Paterson AD; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.; Program in Genetics & Genomic Biology, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada., Sun L; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.; Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada. |
| Source: | PLoS genetics [PLoS Genet] 2025 Aug 22; Vol. 21 (8), pp. e1011822. Date of Electronic Publication: 2025 Aug 22 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7404 |
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| DOI: | 10.1371/journal.pgen.1011822 |
