An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation

Christopher S. Coffey, Patricia R. Hebert, Marylyn D. Ritchie, Harlan M. Krumholz, J. Michael Gaziano, Paul M. Ridker, Nancy J. Brown, Douglas E. Vaughan, Jason H. Moore. An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation. BMC Bioinformatics, 5:49, 2004. [doi]

@article{CoffeyHRKGRBVM04,
  title = {An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation},
  author = {Christopher S. Coffey and Patricia R. Hebert and Marylyn D. Ritchie and Harlan M. Krumholz and J. Michael Gaziano and Paul M. Ridker and Nancy J. Brown and Douglas E. Vaughan and Jason H. Moore},
  year = {2004},
  doi = {10.1186/1471-2105-5-49},
  url = {http://dx.doi.org/10.1186/1471-2105-5-49},
  researchr = {https://researchr.org/publication/CoffeyHRKGRBVM04},
  cites = {0},
  citedby = {0},
  journal = {BMC Bioinformatics},
  volume = {5},
  pages = {49},
}