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
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| Delivery period: 2012/13 Block 3 (Sem 2), Available to all students (SV1)
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Learn enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| 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 | Ms Margaret Luttrell
Tel: (0131 6)50 3227
Email: Maggie.Luttrell@ed.ac.uk |
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