Efficacy studies of malaria treatments in Africa: efficient estimation with missing indicators of failure.

@article{Machekano2008EfficacySO,
  title={Efficacy studies of malaria treatments in Africa: efficient estimation with missing indicators of failure.},
  author={Rhoderick N. Machekano and Grant Dorsey and Alan Hubbard},
  journal={Statistical methods in medical research},
  year={2008},
  volume={17 2},
  pages={191-206}
}
The effect of missing data in causal inference problems is widely recognized. In malaria drug efficacy studies, it is often difficult to distinguish between new and old infections after treatment, resulting in indeterminate outcomes. Methods that adjust for possible bias from missing data include a variety of imputation procedures (extreme case analysis, hot-deck, single and multiple imputation), weighting methods, and likelihood based methods (data augmentation, EM procedures and their… CONTINUE READING

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