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Home : College of Science and Engineering : School of Mathematics (Schedule P) : Specialist Statistics (Year 4)

The Analysis of Survival Data (U01892)

? Credit Points : 10  ? SCQF Level : 11  ? Acronym : MAT-4-ASD

Course for final year students in Honours programmes in Statistics.

Survivor functions and hazard rates. The life table. Actuarial notation. Practical calculation of probabilities using life tables. The Weibull distribution and its uses in reliability theory. The life table as a multiple-state model. Other multiple-state models and the Kolmogorov Forward Equations. Estimation of transition intensities by maximum likelihood. Confidence intervals for transition intensities. Binomial and Poisson models for morality rates. Graduation of life tables. Some demographic terms. Clinical trials. The Kaplan-Meier estimate of the survival function. The log-rank test. Cox proportional hazards techniques. Checking the proportional hazards assumption. Meta-analysis. The use of SPSS in survival analysis.

Entry Requirements

? Pre-requisites : MAT-3-LSM, MAT-3-Lik

Subject Areas

Delivery Information

? Normal year taken : 4th year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 11 weeks

All of the following classes

Type Day Start End Area
Lecture Monday 14:00 15:50 KB

Summary of Intended Learning Outcomes

1. A knowledge of some aspects of medical statistics
2. A knowledge of some material for the Examinations of the Institute and Faculty of Actuaries.

Assessment Information

Examination only.

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May 1 - 2 hour(s)

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Ms Jennifer Marshall
Tel : (0131 6)50 5048
Email : Jennifer.Marshall@ed.ac.uk

Course Organiser

Dr Liam O'Carroll
Tel : (0131 6)50 5070
Email : L.O'Carroll@ed.ac.uk

Course Website : http://student.maths.ed.ac.uk

School Website : http://www.maths.ed.ac.uk/

College Website : http://www.scieng.ed.ac.uk/

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