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The validity of propensity score analysis using complete cases with partially observed covariates

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References

  1. Choi J, Dekkers OM, le Cessie S. A comparison of different methods to handle missing data in the context of propensity score analysis. Eur J Epidemiol. 2019;34(1):23–36. https://doi.org/10.1007/s10654-018-0447-z.

    Article  CAS  PubMed  Google Scholar 

  2. Leyrat C, Seaman SR, White IR, Douglas I, Smeeth L, Kim J, et al. Propensity score analysis with partially observed covariates: How should multiple imputation be used? Stat Methods Med Res. 2019;28(1):3–19. https://doi.org/10.1177/0962280217713032.

    Article  PubMed  Google Scholar 

  3. Austin PC. The performance of different propensity score methods for estimating marginal odds ratios. Stat Med. 2007;26(16):3078–94. https://doi.org/10.1002/sim.2781.

    Article  PubMed  Google Scholar 

  4. Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41–55. https://doi.org/10.1093/biomet/70.1.41.

    Article  Google Scholar 

  5. White IR, Carlin JB. Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values. Stat Med. 2010;29(28):2920–31. https://doi.org/10.1002/sim.3944.

    Article  PubMed  Google Scholar 

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Acknowledgment

This research was supported in part by the National Cancer Institute for the Mays Cancer Center (P30CA054174) at the UT Health Science Center at San Antonio.

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Correspondence to Byeong Yeob Choi.

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Choi, B.Y., Gelfond, J. The validity of propensity score analysis using complete cases with partially observed covariates. Eur J Epidemiol 35, 87–88 (2020). https://doi.org/10.1007/s10654-019-00538-x

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