ACSC71-307: Survival Analysis

Description

The focus of this subject is analysing the time until an event happens, such as the illness or death of a person, or the failure of a business. The issue of censored data is common in such scenarios and how to handle censored data will be discussed throughout this course. The theory, estimation and application of a variety of survival models for censored data are covered, spanning parametric, semi-parametric and non-parametric models. Machine learning methods suitable for censored data are also covered.

Subject details

Type: Postgraduate Subject
Code: ACSC71-307
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • September 2024 [Standard Offering]
  • May 2025 [Standard Offering]
  • September 2025 [Standard Offering]
Credit: 10
Study areas:
  • Actuarial Science and Data Analytics
Subject fees:
  • Commencing in 2024: $5,560.00
  • Commencing in 2025: $5,680.00
  • Commencing in 2024: $6,220.00
  • Commencing in 2025: $6,500.00

Learning outcomes

  1. Demonstrate an advanced understanding of censoring and lifetime random variables.
  2. Estimate, analyse and compare a variety of survival models, including parametric, non-parametric and proportional hazard models.
  3. Critically evaluate the benefits of machine learning techniques in survival analysis.
  4. Estimate and analyse machine learning models in the presence of censored data.
  5. Use a statistical package frequently used by practitioners for survival analysis.

Enrolment requirements

Requisites:

Pre-requisites:

Co-requisites:

There are no co-requisites
Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

Restrictions:

Subject outlines

Subject dates

Standard Offering
Enrolment opens: 14/07/2024
Semester start: 09/09/2024
Subject start: 09/09/2024
Last enrolment: 22/09/2024
Teaching census: 04/10/2024
Withdraw - Financial: 05/10/2024
Withdraw - Academic: 26/10/2024
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