The student will be able to understand and apply biometric models and statistical techniques to study human lifespan and medical research.
a) Understanding the main features involved in biometric models of human survival.
b) Considering the use of data censoring in the model calibration.
c) Knowledge of the most relevant techniques applied to medical research and experiment design: Kaplan-Meier and Nelson-Allen.
d) Understanding a multi-state model involving concurring risks such as various types of death and disability and critical sickness.
e) Master the graduation and data analysis techniques involved in mortality tables generation.
f) Implementing and calibrating models starting from raw data using general purpose and specific software.
a) Analysis and synthesis
b) Problem solving approach
c) Work team player.
d) Critical reasoning
e) Written and verbal communication