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DRPS : Course Catalogue : School of Clinical Sciences and Community Health : Public Health Research

Postgraduate Course: Advanced Statistical Methods: Categorical & Survival Data (PUHR11005)

Course Outline
School School of Clinical Sciences and Community Health College College of Medicine and Veterinary Medicine
Course type Standard Availability Available to all students
Credit level (Normal year taken) SCQF Level 11 (Postgraduate) Credits 10
Home subject area Public Health Research Other subject area None
Course website None Taught in Gaelic? No
Course description Understanding and application of, and interpretation of findings from, (i) methods of analysis suited to survival data, and (ii) more advanced statistical methods suited to categorical data.
Entry Requirements
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
On completion of the course students will be able to:
- Undertake logistic regression and related analyses using SPSS;
- Demonstrate an understanding of the interpretation of logistic regression analyses;
- Recognise the need for specialised techniques for handling survival data;
- Demonstrate an understanding of the interpretation of survival analyses;
- Knowledge of and ability to select suitable analytical approaches to statistical modelling, and for exploring interactions and confounding
Assessment Information
Assignment comprising data report
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords Not entered
Contacts
Course organiser Dr Niall Anderson
Tel: (0131 6)50 3212
Email: Niall.Anderson@ed.ac.uk
Course secretary Ms Margaret Luttrell
Tel:
Email: Maggie.Luttrell@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 8:16 am