Joint modelling of longitudinal and survival data has received much attention in recent years and is increasingly common in clinical studies. When there is an association between longitudinal outcomes and survival endpoints, many well-established models that analyse the outcomes separately are not suitable, and a joint modelling approach is required.
3 sessions (May 7th, 8th and 9th)
9:00 am to 12.30 pm; 1.30 pm to 4.30 pm.
Obs.:Reduced fee (20%) applies for students from a specialization course in Public Health, master’s students in Public Health, PhD students in Public Health, Global Public Health, or Applied Mathematics, and members of SPE or APE, upon presentation of the respective proof to the email cursos@ispup.up.pt
The purpose of this course is to provide an introduction to the joint modelling of longitudinal and survival data and its practical application to health research.
The main objective is to equip participants with the skills they need to begin incorporating this powerful modelling approach into their own work. Throughout the topic of longitudinal analysis, survival analysis and joint modelling, participants will have the opportunity to work with real data examples in the freely available and documented R software.
The course is aimed at researchers, as well as master's and PhD students in statistics, mathematics, medicine, health, and related fields.
