David Collett (2014) Modelling Survival Data in Medical Research, Third Edition - CRC Press
Nicholas Jewell (2004) Statistics for Epidemiology, CHAPMAN & HALL/CRC
Learning Objectives
Theory and practice of survival analysis and binary endpoints for bio-medical studies
Prerequisites
Statistia I, Statistica II, Statistica computazionale, Modelli Statistici, Statistica per la ricerca sperimentale
Teaching Methods
Classroom (36h) and lab sessions (12h, including exercise sessions)
Further information
Additional teaching materials (including class notes) will be shared through the online e-learning platform Moodle
Type of Assessment
Two mid-term written exams (only during Fall semester) or an oral exam
Course program
1. Survival analysis
1.1 intro and case studies
1.2 Censored and truncated data
1.3 Probability distributions and basic quantities
1.4 Parametric methods
1.5 Non-parametric methods
1.6 Proportional hazards and accelerated failure time regression models
2. Analysis of binary endpoints
2.1 Measures of Disease Occurrence
2.2 Measures of Disease-Exposure Association
2.3 Confounding
2.4 Regression models for binary endpoints