A comparative review of methods for comparing means using partially paired data

@article{Guo2017ACR,
  title={A comparative review of methods for comparing means using partially paired data},
  author={Beibei Guo and Ying Yuan},
  journal={Statistical Methods in Medical Research},
  year={2017},
  volume={26},
  pages={1323 - 1340}
}
  • Beibei Guo, Ying Yuan
  • Published 2017
  • Mathematics, Medicine
  • Statistical Methods in Medical Research
In medical experiments with the objective of testing the equality of two means, data are often partially paired by design or because of missing data. The partially paired data represent a combination of paired and unpaired observations. In this article, we review and compare nine methods for analyzing partially paired data, including the two-sample t-test, paired t-test, corrected z-test, weighted t-test, pooled t-test, optimal pooled t-test, multiple imputation method, mixed model approach… Expand
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