Sinha, P., Spicer, A., Delucchi, K. L., McAuley, D. F., Calfee, C. S., & Churpek, M. M. (2021). Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials. EBioMedicine, 74, 103697. https://doi.org/10.1016/j.ebiom.2021.103697
Chicago-Zitierstil (17. Ausg.)Sinha, Pratik, Alexandra Spicer, Kevin L. Delucchi, Daniel F. McAuley, Carolyn S. Calfee, und Matthew M. Churpek. "Comparison of Machine Learning Clustering Algorithms for Detecting Heterogeneity of Treatment Effect in Acute Respiratory Distress Syndrome: A Secondary Analysis of Three Randomised Controlled Trials." EBioMedicine 74 (2021): 103697. https://doi.org/10.1016/j.ebiom.2021.103697.
MLA-Zitierstil (9. Ausg.)Sinha, Pratik, et al. "Comparison of Machine Learning Clustering Algorithms for Detecting Heterogeneity of Treatment Effect in Acute Respiratory Distress Syndrome: A Secondary Analysis of Three Randomised Controlled Trials." EBioMedicine, vol. 74, 2021, p. 103697, https://doi.org/10.1016/j.ebiom.2021.103697.