| Type: | Undergraduate Subject |
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| Code: | ACSC13-307 |
| EFTSL: | 0.125 |
| Faculty: | Bond Business School |
| Semesters offered: |
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| Credit: | 10 |
| Study areas: |
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| Subject fees: |
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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
Learning outcomes
- Demonstrate an understanding of censoring and lifetime random variables.
- Estimate and analyse a variety of survival models, including parametric, non-parametric and proportional hazard models.
- Demonstrate an understanding of the benefits of machine learning techniques in survival analysis.
- Estimate and analyse machine learning models in the presence of censored data.
- Use a statistical package frequently used by practitioners for survival analysis.
Enrolment requirements
| Requisites: |
Pre-requisites:Co-requisites:There are no co-requisites |
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| 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.
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| Restrictions: |
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Subject outlines
- September 2024 [Standard - Survival Analysis]
- May 2024 [Standard - Survival Analysis]
- September 2023 [Standard - Survival Analysis]
- May 2023 [Standard - Survival Analysis]
- September 2022 [Standard - Survival Analysis]
- May 2022 [Standard - Survival Analysis]
- January 2022 [Standard - Survival Analysis]
- September 2021 [Standard - Survival Analysis]
- May 2021 [Standard - Survival Analysis]
Subject dates
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May 2024
Standard Offering Enrolment opens: 17/03/2024 Semester start: 13/05/2024 Subject start: 13/05/2024 Cancellation 1: 27/05/2024 Cancellation 2: 03/06/2024 Last enrolment: 26/05/2024 Withdraw - Financial: 08/06/2024 Withdraw - Academic: 29/06/2024 Teaching census: 07/06/2024 -
September 2024
Standard Offering Enrolment opens: 14/07/2024 Semester start: 09/09/2024 Subject start: 09/09/2024 Cancellation 1: 23/09/2024 Cancellation 2: 30/09/2024 Last enrolment: 22/09/2024 Withdraw - Financial: 05/10/2024 Withdraw - Academic: 26/10/2024 Teaching census: 04/10/2024
| Standard Offering | |
|---|---|
| Enrolment opens: | 17/03/2024 |
| Semester start: | 13/05/2024 |
| Subject start: | 13/05/2024 |
| Cancellation 1: | 27/05/2024 |
| Cancellation 2: | 03/06/2024 |
| Last enrolment: | 26/05/2024 |
| Withdraw - Financial: | 08/06/2024 |
| Withdraw - Academic: | 29/06/2024 |
| Teaching census: | 07/06/2024 |
| Standard Offering | |
|---|---|
| Enrolment opens: | 14/07/2024 |
| Semester start: | 09/09/2024 |
| Subject start: | 09/09/2024 |
| Cancellation 1: | 23/09/2024 |
| Cancellation 2: | 30/09/2024 |
| Last enrolment: | 22/09/2024 |
| Withdraw - Financial: | 05/10/2024 |
| Withdraw - Academic: | 26/10/2024 |
| Teaching census: | 04/10/2024 |