ASM2 - EMbeDS-education/ComputingDataAnalysisModeling20242025 GitHub Wiki

This is the home page of the course ASM2: Applied Statistical Modeling 2.

Please use the right-sidebar to navigate the pages of interest.

Instructors:

Language: English

Duration: Apr-May 2025, 10h.

NOTE: The course has limited seats, potential students from the PhD in AI should send an email to Valentina Lorenzoni ([email protected]) to register to the course.

Description: The course aims to provide students with a a methodological and applied background of models for time-to-event data, focusing on survival analysis and specifically on Cox proportional hazard model and on models for competing risk. The course provides a practice-oriented approach with applications in the context of social sciences, and assumes prior knowledge of the foundations of Probability, Inferential Statistics, and Regression models

Materials: Hosmer DW, Lemeshow S, May S (2008). Applied survival analysis: Regression Modeling of Time-to-Event Data.Second edition. Jhon Wiley and Sons, Inc., Hoboken, New Jersey
Therneau TM, Grambsch PM (2000).Modeling Survival Data: Extending the Cox Model. Springer
Statistics Slides and other support materials for this course will be made available through this repository; see links in the right-sidebar.

Attendance: We expect lectures and practicum sessions to be held in presence, and webex link will be available if necessary.

Evaluation Evaluation will be based on oral examination from individual project work.

Prerequisites: Foundations of Probability, Inferential Statistics, and Regression models.

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