Postgraduate Course: Statistical Modelling (PUHR11040)
Course Outline
| School | School of Molecular, Genetic and Population Health Sciences |
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 | This course describes the main principles of statistical modelling and introduces three types of model commonly used in epidemiological studies: linear regression, logistic regression and survival analysis. |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2014/15 Block 3 (Sem 2), Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
12/01/2015 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Supervised Practical/Workshop/Studio Hours 10,
Revision Session Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
76 )
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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
Show knowledge of and ability to select and interpret results of suitable analytical approaches to statistical modelling.
Show knowledge of approaches to exploring interactions and confounding. Understand the principles of good practice in model building and validation.
Demonstrate an understanding of the interpretation of linear regression, logistic regression and survival analyses.
Undertake logistic regression analyses appropriately using statistical software.
Topics to be covered include:
&·Simple and multifactorial linear models, including ANOVA models
&·binary logistic regression
&·Kaplan-Meier plots and log-rank tests
&·Cox proportional hazards model
&·methods for assessing appropriate formats for including explanatory variables
&·variable selection methods
&·diagnostic methods |
Assessment Information
| Data analysis project (100%) |
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 | Statistics, statistical methods, R, SPSS, modelling, regression, linear, logistic, survival analysis |
Contacts
| Course organiser | Dr Niall Anderson
Tel: (0131 6)50 3212
Email: Niall.Anderson@ed.ac.uk |
Course secretary | Mr Stuart Mallen
Tel: (0131 6)50 3227
Email: Stuart.Mallen@ed.ac.uk |
|
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