Predictive models for prognosis in oncology patients
Scientific-Disciplinary Group
06/MEDS-24 - Medical Statistics, Hygiene, Public Health, Nursing And Midwifery
Description
The research activity will focus on the development and validation of predictive models for prognosis in oncology patients using clinical and epidemiological data. Survival analysis methods and advanced statistical techniques will be applied to estimate the risk of clinical outcomes (mortality, recurrence, progression). The project includes data management and integration, selection of prognostic variables, and evaluation of model performance (calibration and discrimination), with the possible use of machine learning approaches. Results will contribute to improved risk stratification and clinical decision-making.
Compensation
37,478 Euro
Job posting website
Number of positions
1
Maximum duration
12.0
Funding body
Università di Torino
How to apply
Selection process
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View the original posting on the MUR website: Go to MUR website