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).
|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|
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:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||8 weeks||1 per week||4 hours|
Method of Assessment:
|Exam 1||50||1.5 hour exam|
|Assignment||50||1,500 word written report and data tables|
Dr T McKeever
Dr S Ratib
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.
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
Use the Back facility of your browser to return to the previous page.
Search for another module
Return to The University of Nottingham Welcome Page