Tag: Antonello Maruotti,

An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions

SteamAdm

The availability of intensive care beds during the Covid-19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work

Handling non-ignorable dropouts in longitudinal data: A conditional model based on a latent Markov heterogeneity structure

SteamAdm

We illustrate a class of conditional models for the analysis of longitudinal data suffering attrition in random effects models framework, where the subject-specific random effects

html{margin-top:35px}Cookies help us deliver our services. By using our services you agree to our use of cookies.More Info

GRASPA SIS

The official site of the Graspa SIS group

Tag: Antonello Maruotti,

An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions

Handling non-ignorable dropouts in longitudinal data: A conditional model based on a latent Markov heterogeneity structure