Huehn, M.; Gaebel, J.; Oeser, A.; Dietz, A.; Neumuth, T.; Wichmann, G.; Stoehr, M.
Bayesian Networks to Support Decision-Making for Immune-Checkpoint Blockade in Recurrent/Metastatic (R/M) Head and Neck Squamous Cell Carcinoma (HNSCC). Cancers 2021, 13, 5890.
https://doi.org/10.3390/cancers13235890
AMA Style
Huehn M, Gaebel J, Oeser A, Dietz A, Neumuth T, Wichmann G, Stoehr M.
Bayesian Networks to Support Decision-Making for Immune-Checkpoint Blockade in Recurrent/Metastatic (R/M) Head and Neck Squamous Cell Carcinoma (HNSCC). Cancers. 2021; 13(23):5890.
https://doi.org/10.3390/cancers13235890
Chicago/Turabian Style
Huehn, Marius, Jan Gaebel, Alexander Oeser, Andreas Dietz, Thomas Neumuth, Gunnar Wichmann, and Matthaeus Stoehr.
2021. "Bayesian Networks to Support Decision-Making for Immune-Checkpoint Blockade in Recurrent/Metastatic (R/M) Head and Neck Squamous Cell Carcinoma (HNSCC)" Cancers 13, no. 23: 5890.
https://doi.org/10.3390/cancers13235890
APA Style
Huehn, M., Gaebel, J., Oeser, A., Dietz, A., Neumuth, T., Wichmann, G., & Stoehr, M.
(2021). Bayesian Networks to Support Decision-Making for Immune-Checkpoint Blockade in Recurrent/Metastatic (R/M) Head and Neck Squamous Cell Carcinoma (HNSCC). Cancers, 13(23), 5890.
https://doi.org/10.3390/cancers13235890