Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Estimation of Log-Odds Ratios for Incomplete $2{\times}2$ Tables with Covariates using FEFI

  • Kang, Shin-Soo (Department of Management and Information, Kwandong University) ;
  • Bae, Je-Min (Department of Computer Education, Kwandong University)
  • Published : 2007.02.28
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Abstract

The information of covariates are available to do fully efficient fractional imputation(FEFI). The new method, FEFI with logistic regression is proposed to construct complete contingency tables. Jackknife method is used to get a standard errors of log-odds ratio from the completed table by the new method. Simulation results, when covariates have more information about categorical variables, reveal that the new method provides more efficient estimates of log-odds ratio than either multiple imputation(MI) based on data augmentation or complete case analysis.

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