Cite
Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data.
MLA
Kumamaru, Hiraku, et al. “Utility of Automated Data-Adaptive Propensity Score Method for Confounding by Indication in Comparative Effectiveness Study in Real World Medicare and Registry Data.” PloS One, vol. 17, no. 8, Aug. 2022, p. e0272975. EBSCOhost, https://doi.org/10.1371/journal.pone.0272975.
APA
Kumamaru, H., Jalbert, J. J., Nguyen, L. L., Williams, L. A., Miyata, H., & Setoguchi, S. (2022). Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data. PloS One, 17(8), e0272975. https://doi.org/10.1371/journal.pone.0272975
Chicago
Kumamaru, Hiraku, Jessica J Jalbert, Louis L Nguyen, Lauren A Williams, Hiroaki Miyata, and Soko Setoguchi. 2022. “Utility of Automated Data-Adaptive Propensity Score Method for Confounding by Indication in Comparative Effectiveness Study in Real World Medicare and Registry Data.” PloS One 17 (8): e0272975. doi:10.1371/journal.pone.0272975.