87451 - TIME-TO-EVENT DATA ANALYSIS

Scheda insegnamento

Anno Accademico 2018/2019

Conoscenze e abilità da conseguire

By the end of the course the student knows the basic statistical methods in clinical research, with particular attention to the design of clinical study and survival analysis. The student acquires the skills required to solve real-world clinical research problems.

Programma/Contenuti

Introduction to clinical research and main Clinical Trial Designs

Introduction to the analysis of survival data in biomedical research, censoring and truncation. Estimation of the integrated survivorship functions with non parametric methods: Kaplan-Meier product-limit and lifetable methods.

Hazard function: definition ed estimate. Relationship between hazard, survivorship and density function in survival data analysis.

Comparison of survivorship functions: log-rank and Wilcoxon rank sum test.

Semiparametric Cox regression model: definition, assumptions, estimation and hypothesis tests; interpretation of estimated coefficients and residual analysis.

Extensions of the proportional hazard model: stratification and time-varying coefficients.

Main parametric regression models.

Sample size considerations.

Case studies.

Testi/Bibliografia

D. COLLETT, Modelling survival data in medical research, Chapman & Hall, 2003

D. Kleinbaum, Survival analysis, Springer Verlag, 2012.

D. W. HOSMER, S. LEMESHOW, S. MAY, Applied Survival Analysis: Regression Modeling of Time to Event Data, Wiley, New York, 2008.

E.T.LEE, Statistical Methods for Survival Data Analysis, Wiley, New York, 2003

Metodi didattici

Lectures

Computer session


Modalità di verifica dell'apprendimento

The exam aims at testing the student's achievement of the following learning outcomes:

- deep knowledge of the statistical methods described and discussed during the lectures

- ability to use these methods in the analysis of survival data

- ability to use the obtained results for the quantitative interpretation of the studied data.

The exam consists of a lab test that aims to evaluate the ability to conduct statistical analysis of survival data. The student should positively pass this lab test in order to sustain the oral exam. The validity of the lab test is limited to the exam session and the following one.

The oral exam integrate the lab test in order to evaluate the achievement of the learning outcome. The final evaluation, given in marks out of 30, represents a mean of the results obtained in both the exams.

Strumenti a supporto della didattica

PC/ video projector

Orario di ricevimento

Consulta il sito web di Rossella Miglio