SMART-MC is a covariate-dependent Markov chain model for MS disease-modifying therapy transitions that uses L2-norm constraints for identifiability, sets sparse transitions to constants, and applies parallel global optimization.
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SMART-MC: Characterizing the Dynamics of Multiple Sclerosis Therapy Transitions Using a Covariate-Based Markov Model
SMART-MC is a covariate-dependent Markov chain model for MS disease-modifying therapy transitions that uses L2-norm constraints for identifiability, sets sparse transitions to constants, and applies parallel global optimization.