This course introduces survival models and discusses their rationale, their estimation and their application to mortality. Topics covered will include: an introduction to the life table; survival models; estimation procedures for lifetime distributions; statistical models of transfers between multiple states; maximum likelihood estimation of transition intensities for such models; binomial model of mortality including estimation and comparison with multiple state models; exposed to risk and methods for smoothing crude mortality rate data.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of the requirements for this course, students should have theknowledge and skills to:
• Communicate the concept of survival models.
• Communicate estimation procedures for lifetime distributions.
• Implement statistical models of transfer between multiple states, including processes with single or multiple decrements, and derive relationships between probabilities of transfer and transition intensities.
• Derive maximum likelihood estimators for the transition intensities in models of transfers between states with piecewise constant transition intensities.
• Describe in depth how to estimate transition intensities depending on age, exactly or using the census approximation.
• Communicate how to test crude estimates for consistency with a standard table or a set of graduated estimates, and describe the process of graduation with piecewise constant transition intensities.
• Describe in depth how to estimate transition intensities depending on age, exactly or using the census approximation.
• Communicate how to test crude estimates for consistency with a standard table or a set of graduated estimates, and describe the process of graduation
with piecewise constant transition intensities.
• Describe in depth how to estimate transition intensities depending on age, exactly or using the census approximation.
• Communicate how to test crude estimates for consistency with a standard table or a set of graduated estimates, and describe the process of graduation
with piecewise constant transition intensities.
• Describe in depth how to estimate transition intensities depending on age, exactly or using the census approximation.
• Communicate how to test crude estimates for consistency with a standard table or a set of graduated estimates, and describe the process of graduation
Other Information
See the course outline on the College courses page. Outlines are uploaded as they become available.
Indicative Assessment
Assessment for this course will comprise:
- Mid Semester Exam 20%
- Final Examination 80%
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Workload
10 hours per week
Requisite and Incompatibility
Specialisations
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2016 | $3480 |
- International fee paying students
| Year | Fee |
|---|---|
| 2016 | $4638 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 3661 | 15 Feb 2016 | 26 Feb 2016 | 31 Mar 2016 | 27 May 2016 | In Person | N/A |
