Given a dataset of class "survIDM", this function counts the number of observed transitions in the multi-state model.
A dataframe including at least four columns named
Names for the transition states. If
The colums of the dataset needs to have the format of class "survIDM", which holds the transition matrix of the multi-state model.
Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho.
L. Meira-Machado, J. de Una-Alvarez, C. Cadarso-Suarez, and P. Andersen. Multi-state models for the analysis of time to event data. Statistical Methods in Medical Research, 18:195-222, 2009.
J. de Una-Alvarez and L. Meira-Machado. Nonparametric estimation of transition probabilities in the non-markov illness-death model: A comparative study. Biometrics, 71(2):364-375, 2015.
L. Meira-Machado and M. Sestelo. Estimation in the progressive illness-death model: A nonexhaustive review. Biometrical Journal, 2018.
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