A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data

G. Nicora, F. Moretti, E. Sauta, M. Della Porta, L. Malcovati, M. Cazzola, S. Quaglini, R. Bellazzi

Research output: Contribution to journalArticlepeer-review

Fingerprint Dive into the research topics of 'A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data'. Together they form a unique fingerprint.

Medicine & Life Sciences

Engineering & Materials Science