Corrections for exposure measurement error in logistic regression models with an application to nutritional data.

@article{Kuha1994CorrectionsFE,
  title={Corrections for exposure measurement error in logistic regression models with an application to nutritional data.},
  author={J. Kuha},
  journal={Statistics in medicine},
  year={1994},
  volume={13 11},
  pages={1135-48}
}
  • J. Kuha
  • Published 1994 in Statistics in medicine
Two correction methods are considered for multiple logistic regression models with some covariates measured with error. Both methods are based on approximating the complicated regression model between the response and the observed covariates with simpler models. The first model is the logistic approximation proposed by Rosner et al., and the second is a second-order extension of this model. Only the mean and covariance matrix of the true values of the covariates given the observed values have… CONTINUE READING

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