A unifying theory for genetic epidemiological analysis of binary disease data

Debby Lipschutz-Powell, John A Woolliams, Andrea B Doeschl-Wilson

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DOI: 10.1186/1297-9686-46-15
Published: 2014
Container: Genetics Selection Evolution
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/1297-9686-46-15,
  title = {A unifying theory for genetic epidemiological analysis of binary disease data},
  author = {Debby Lipschutz-Powell and John A Woolliams and Andrea B Doeschl-Wilson},
  year = {2014},
  journal = {Genetics Selection Evolution},
  doi = {10.1186/1297-9686-46-15},
  url = {https://doi.org/10.1186/1297-9686-46-15}
}

RIS

TY  - JOUR
TI  - A unifying theory for genetic epidemiological analysis of binary disease data
AU  - Debby Lipschutz-Powell
AU  - John A Woolliams
AU  - Andrea B Doeschl-Wilson
PY  - 2014
JO  - Genetics Selection Evolution
DO  - 10.1186/1297-9686-46-15
UR  - https://doi.org/10.1186/1297-9686-46-15
ER  -

APA

Lipschutz-Powell, D., Woolliams, J. A., & Doeschl-Wilson, A. B. (2014). A unifying theory for genetic epidemiological analysis of binary disease data. Genetics Selection Evolution. https://doi.org/10.1186/1297-9686-46-15

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crossref · retrieved 2026-11-10T11:04:45.896Z