Postgraduate Course: Statistical Modelling (PUHR11040)
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 | This course describes the main principles of statistical modelling and introduces logistic regression for modelling binary outcome variables in epidemiological studies. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
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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WebCT 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 logistic regression analyses. Undertake logistic regression analyses appropriately using statistical software.
Methods to be covered include:
&ˇstratified contingency tables and Mantel-Haenzsel Odds Ratios,
&ˇbinary logistic regression,
&ˇconditional logistic regression,
&ˇmethods for assessing appropriate formats for including explanatory variables
&ˇvariable selection methods
&ˇdiagnostic methods
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Assessment Information
| Assignment comprising of a data analysis project and 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 | Statistics logistic regression medelling variable selection confounding |
Contacts
| Course organiser | Dr Niall Anderson
Tel: (0131 6)50 3212
Email: |
Course secretary | Ms Margaret Luttrell
Tel: (0131 6)50 3227
Email: |
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