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ACSC13-307: 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: Undergraduate Subject
Code: ACSC13-307
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • January 2022 [Standard Offering]
  • May 2022 [Standard Offering]
  • September 2022 [Standard Offering]
Credit: 10
Study areas:
  • Actuarial Science and Data Analytics
  • Business, Commerce, and Entrepreneurship
Subject fees:
  • Commencing in 2021: $3,890.00
  • Commencing in 2022: $3,950.00
  • Commencing in 2023: $4,050.00
  • Commencing in 2021: $5,260.00
  • Commencing in 2022: $5,260.00
  • Commencing in 2023: $5,400.00

Learning objectives

1. Demonstrate an understanding of censoring and lifetime random variables. 2. Estimate and analyse a variety of survival models, including parametric, non-parametric and proportional hazard models. 3. Demonstrate an understanding of 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 dates

  • Standard Offering
    Enrolment opens: 16/11/2021
    Semester start: 17/01/2022
    Subject start: 17/01/2022
    Cancellation 1: 31/01/2022
    Cancellation 2: 07/02/2022
    Last enrolment: 30/01/2022
    Withdraw - Financial: 12/02/2022
    Withdraw - Academic: 05/03/2022
    Teaching census: 11/02/2022
  • Standard Offering
    Enrolment opens: 20/03/2022
    Semester start: 16/05/2022
    Subject start: 16/05/2022
    Cancellation 1: 30/05/2022
    Cancellation 2: 06/06/2022
    Last enrolment: 29/05/2022
    Withdraw - Financial: 11/06/2022
    Withdraw - Academic: 02/07/2022
    Teaching census: 10/06/2022
  • Standard Offering
    Enrolment opens: 17/07/2022
    Semester start: 12/09/2022
    Subject start: 12/09/2022
    Cancellation 1: 26/09/2022
    Cancellation 2: 03/10/2022
    Last enrolment: 25/09/2022
    Withdraw - Financial: 08/10/2022
    Withdraw - Academic: 29/10/2022
    Teaching census: 07/10/2022
Standard Offering
Enrolment opens: 16/11/2021
Semester start: 17/01/2022
Subject start: 17/01/2022
Cancellation 1: 31/01/2022
Cancellation 2: 07/02/2022
Last enrolment: 30/01/2022
Withdraw - Financial: 12/02/2022
Withdraw - Academic: 05/03/2022
Teaching census: 11/02/2022