Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression

@inproceedings{Bartlett2015AsymptoticallyUE,
  title={Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression},
  author={Jonathan W. Bartlett and Ofer Harel and James R. Carpenter},
  booktitle={American journal of epidemiology},
  year={2015}
}
Missing data are a commonly occurring threat to the validity and efficiency of epidemiologic studies. Perhaps the most common approach to handling missing data is to simply drop those records with 1 or more missing values, in so-called "complete records" or "complete case" analysis. In this paper, we bring together earlier-derived yet perhaps now somewhat neglected results which show that a logistic regression complete records analysis can provide asymptotically unbiased estimates of the… CONTINUE READING
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Unbiased estimation of exposure odds ratios in complete records logistic regression

J W Bartlett, O Harel, J R Carpenter
under review, • 2015
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