Postgraduate Course: Statistical Modelling (PUHR11040)
|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
|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.
Information for Visiting Students
Course Delivery Information
|Academic year 2018/19, Available to all students (SV1)
||Block 3 (Sem 2)
|Course Start Date
|Learning and Teaching activities (Further Info)
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
|Assessment (Further Info)
|Additional Information (Assessment)
||Data analysis project (100%)
|No Exam Information
| 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
|Graduate Attributes and Skills
|Keywords||Statistics, statistical methods, R, SPSS, modelling, regression, linear, logistic, survival analysis
|Course organiser||Dr Niall Anderson
Tel: (0131 6)50 3212
|Course secretary||Mr Stuart Mallen
Tel: (0131 6)50 3227