Catalogue of Modules, University of Nottingham

A34582 Advanced Statistical Methods
(Last Updated:26 August 2017)

Year  17/18

Total Credits: 10

Level: Level 4

Target Students:  Primarily postgraduate students in the Division of Epidemiology and Public Health. Places may be made available to staff and postgraduate research students in the School of Medicine who wish to attend subject to an equivalent standard of knowledge and skills as required by Research methods in Epidemiology with Basic Statistics (A34591).
  LBR Module

Taught Semesters:

Spring Assessed by end of Spring Semester 

Prerequisites: Registration with the SOM as a taught postgraduate student or PhD candidate. Successful completion of A34591 or equivalent, including basic working knowledge of the statistical package STATA.

A34591 Research Methods in Epidemiology with Basic Statistics 

Corequisites:  None.

Summary of Content:  

This module will cover:

This module equips students with the knowledge and skills to analyse and interpret data from epidemiological studies, including advanced methods that allow us to investigate the effects of individual and multiple factors on different types of health outcome in different study designs. The module concentrates on the practical application of these statistical methods and approaches in analysing epidemiological data, providing the essential statistical theory to underpin these methods and to appreciate when it is appropriate to use different methods. the module makes extensive use of the STATA statistical software.

Method and Frequency of Class:

ActivityNumber Of WeeksNumber of sessionsDuration of a session
Lecture 8 weeks1 per week4 hours

Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

Further Activity Details:

Method of Assessment: 

Assessment TypeWeightRequirements
Exam 1 50 1.5 hour exam 
Assignment 50 1,500 word written report and data tables 

Dr T McKeever
Dr S Ratib

Education Aims:  

This module introduces students to a higher level of statistical methods, building on the content of the Research Methods in Epidemiology and Basic Statistics Module (A34591), and including statistical regression modelling techniques.

For example, students will learn to interpret and apply the techniques of multiple linear regression, logistic regression, rates and survival analysis using the STATA software.

Learning Outcomes:  

Knowledge and understanding. Students will be able to demonstrate:

Intellectual skills. Students will be able to demonstrate:

Professional practical skills. Students will be able to

Transferable (key) skills. Students will be able to

Offering School:  Medicine

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