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stat.ME2018
A non-homogeneous hidden Markov model for partially observed longitudinal responses
Maria Francesca Marino, Marco Alfo'
Dropout represents a typical issue to be addressed when dealing with longitudinal studies. If the mechanism leading to missing information is non-ignorable, inference based on the…
stat.ME2017
A bi-dimensional finite mixture model for longitudinal data subject to dropout
Alessandra Spagnoli, Maria Francesca Marino, Marco Alfò
In longitudinal studies, subjects may be lost to follow-up, or miss some of the planned visits, leading to incomplete response sequences. When the probability of non-response, cond…