Survival analysis (2020/2021)

Course code
cod wi: DT000130
Name of lecturer
Simone Accordini
Coordinator
Simone Accordini
Number of ECTS credits allocated
3
Academic sector
MED/01 - MEDICAL STATISTICS
Language of instruction
Italian
Location
VERONA
Period
A.A. 20/21 dottorato dal Oct 1, 2020 al Sep 30, 2021.

Lesson timetable

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Learning outcomes

The course aims at providing the theoretical and practical tools for the analysis of survival data in human populations and the associated risk factors, i.e. skills in the field of epidemiology, biostatistics and computer science applied to the analysis of biomedical data (programming syntax of a statistical software).

Syllabus

The course is structured in theoretical and practical lessons (12h) on the use of a statistical software (STATA) for the quantitative analysis of biomedical data, which are provided in dual mode (face to face and remote).
The teaching material is made available to the students on the e-learning web page of the course (Moodle platform).

1) General concepts of survival analysis: endpoint, survival time, survival function, hazard.
2) Univariable analysis: Kaplan-Meier estimator, median survival time, Mantel-Haenzel test.
3) Multivariable analysis: Cox model.

Reference books
Author Title Publisher Year ISBN Note
Marubini E, Valsecchi MG Analysing Survival Data from Clinical Trials and Observational Studies John Wiley & sons 1995

Assessment methods and criteria

Frequency-based