Generalised linear models for correlated pseudo‐observations, with applications to multi‐state models

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Direct Modelling of Regression Effects for Transition Probabilities in Multistate Models (2007, methodology): “Recently, a ‘pseudo-observation’ approach has been proposed and studied by Andersen et al. (2003) and Klein & Andersen (2004) to model the transition probability directly, which assesses the covariate effects on the probability of interest.”
A Note on the Large Sample Properties of Estimators Based on Generalized Linear Models for Correlated Pseudo‐observations (2016, methodology): “Z/ D Z, and the other equal to the one suggested by Andersen et al. (2003), that is, the usual generalized estimating function.”
Tutorial in biostatistics: competing risks and multi‐state models (2007, methodology): “A recent issue of Statistical Methods in Medical Research, entirely devoted to multi-state models, is also of interest, see e.g. References [1, 8, 9].”