01.07.2018 - 30.06.2021

Long-Time-Health: Modelos Conjuntos para Dados Longitudinais e Tempo-até-Evento em Ciências da Saúde (POCI-01-0145-FEDER-028248)


Financing Instituitions

Participating Institutions
Universidade do Minho; ISPUP;



Begin Date: 1st july 2018

End Date: 30th june 2021


Total Budget: 239.751,18€

Budget attributed to ISPUP: 13.749,75€


Principal Investigator: Inês Pereira Silva Cunha de Sousa


Medical data at patient level, in portuguese hospitals, is not establish in systematic data bases to be used directly for statistical analysis. Usually, patients being follow-
up at hospital after diagnostic, or treatment, generate repeated measurements of a biomarker of interest. The longitudinal sequence will terminate due to an event or censoring. It is of interest to learn about longitudinal progression as well as risk factors and the implications of these on time-to-event. However, it is known that joint models, accounting for a joint distribution, for longitudinal and time-to-event data are necessary to analyze these data. Therefore, in this project the development of joint models is proposed, following a proposal for individual predictions under this model. Moreover, these solutions are implemented in a computer software, to be used by the medical community, that also manages a data base, collected systematically, in real time. 


Weekly Publication

Quality of life trajectories in breast cancer patients: an updated analysis 5 years after diagnosis
J Public Health (Oxf)
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