msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
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Updated
Aug 29, 2024 - R
msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
Framingham data progressive unidirectional multi-state model using four states: No disease, Hypertension, Cardiovascular disease, and Death (absorbing).
Generating Multi-State Survival Data
Code for variable selection via fused sparse-group lasso (FSGL) penalized multi-state models incorporating molecular data (Miah et al., 2024).
Estimation of Transition Probabilities in Multistate Models
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