Postgraduate Course: Statistical Modelling (PUHR11040)
Course Outline
| School | Deanery of Molecular, Genetic and Population Health Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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. |
| Course description |
Not entered
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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
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
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Additional Information
| Graduate Attributes and Skills |
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 Charlotte Munden
Tel: (0131 6)51 318
Email: cmunden2@ed.ac.uk |
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